C. Faloutsos

Christos Faloutsos, Anastasia Ailamaki, Gregory R. Ganger, 2004, The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, 2004. (MASCOTS 2004). Proceedings..

Detecting insider threats in a real corporate database of computer usage activity

Thomas G. Dietterich, Danai Koutra, Christos Faloutsos, 2013, KDD.

Streaming Pattern Discovery in Multiple Time-Series

Jimeng Sun, Christos Faloutsos, Spiros Papadimitriou, 2005, VLDB.

Graph evolution: Densification and shrinking diameters

Christos Faloutsos, Jure Leskovec, Jon M. Kleinberg, 2006, TKDD.

Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication

Christos Faloutsos, Jure Leskovec, Deepayan Chakrabarti, 2005, PKDD.

Connection Subgraphs in Social Networks

C. Faloutsos, A. Tomkins, K. McCurley, 2004 .

R-MAT: A Recursive Model for Graph Mining

Christos Faloutsos, Deepayan Chakrabarti, Yiping Zhan, 2004, SDM.

Graphs over time: densification laws, shrinking diameters and possible explanations

Christos Faloutsos, Jure Leskovec, Jon M. Kleinberg, 2005, KDD '05.

Multidimensional Access Methods: Trees Have Grown Everywhere

Christos Faloutsos, Timos K. Sellis, Nick Roussopoulos, 1997, VLDB.

The New Jersey Data Reduction Report

Peter J. Haas, Christos Faloutsos, Kenneth A. Ross, 1997 .

Beyond uniformity and independence: analysis of R-trees using the concept of fractal dimension

Christos Faloutsos, Ibrahim Kamel, C. Faloutsos, 1994, PODS.

Information Survival Threshold in Sensor and P2P Networks

Michalis Faloutsos, Christos Faloutsos, Jure Leskovec, 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

Epidemic spreading in real networks: an eigenvalue viewpoint

Christos Faloutsos, Yang Wang, Deepayan Chakrabarti, 2003, 22nd International Symposium on Reliable Distributed Systems, 2003. Proceedings..

On power-law relationships of the Internet topology

Michalis Faloutsos, Christos Faloutsos, Petros Faloutsos, 1999, SIGCOMM '99.

Cost-effective outbreak detection in networks

Andreas Krause, Christos Faloutsos, Jure Leskovec, 2007, KDD '07.

Generation of Data Mining and Cyber-Enabled Discovery for Innovation ( NGDM ’ 07 ) : Final Report Report Committee :

Philip S. Yu, Timothy W. Finin, C. Faloutsos, 2007 .

Sub-Pattern Matching

C. Faloutsos, 1998 .

Data mining meets performance evaluation: fast algorithms for modeling bursty traffic

Christos Faloutsos, Spiros Papadimitriou, Tara M. Madhyastha, 2002, Proceedings 18th International Conference on Data Engineering.

BoLeRO: a principled technique for including bone length constraints in motion capture occlusion filling

Christos Faloutsos, Lei Li, Nancy S. Pollard, 2010, SCA '10.

Graph mining: Laws, generators, and algorithms

Christos Faloutsos, Deepayan Chakrabarti, C. Faloutsos, 2006, CSUR.

Random walk with restart: fast solutions and applications

Christos Faloutsos, Hanghang Tong, Jia-Yu Pan, 2008, Knowledge and Information Systems.

Fast efficient and scalable Core Consistency Diagnostic for the parafac decomposition for big sparse tensors

Christos Faloutsos, Evangelos E. Papalexakis, C. Faloutsos, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On multidimensional data and modern disks

Christos Faloutsos, Anastasia Ailamaki, Minglong Shao, 2005, FAST'05.

InteMon: continuous mining of sensor data in large-scale self-infrastructures

Jimeng Sun, Christos Faloutsos, Gregory R. Ganger, 2006, OPSR.

LOCI: fast outlier detection using the local correlation integral

Christos Faloutsos, Hiroyuki Kitagawa, Spiros Papadimitriou, 2003, Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405).

ANF: a fast and scalable tool for data mining in massive graphs

Christos Faloutsos, Phillip B. Gibbons, Christopher R. Palmer, 2002, KDD.

PEGASUS: mining peta-scale graphs

Charalampos E. Tsourakakis, U. Kang, C. Faloutsos, 2011 .

Estimating the Selectivity of Spatial Queries Using the 'Correlation' Fractal Dimension

Christos Faloutsos, Alberto Belussi, C. Faloutsos, 1995, VLDB.

Modeling Skewed Distribution Using Multifractals and the '80-20' Law

Christos Faloutsos, Yossi Matias, Abraham Silberschatz, 1996, VLDB.

Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries

Bruno Ribeiro, Christos Faloutsos, Flavio Figueiredo, 2014, ECML/PKDD.

MultiAspectForensics: Pattern Mining on Large-Scale Heterogeneous Networks with Tensor Analysis

Christos Faloutsos, Fan Guo, Koji Maruhashi, 2011, 2011 International Conference on Advances in Social Networks Analysis and Mining.

Design and Performance Considerations for an Optical Disk-Based, Multimedia Object Server

Christos Faloutsos, Stavros Christodoulakis, C. Faloutsos, 1986, Computer.

FMDistance: A Fast and Effective Distance Function for Motion Capture Data

Christos Faloutsos, Jessica K. Hodgins, Kensuke Onuma, 2008, Eurographics.

Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks

Michalis Faloutsos, Christos Faloutsos, Deepayan Chakrabarti, 2011, IEEE ICDM 2011.

Got the Flu (or Mumps)? Check the Eigenvalue!

Nicholas C. Valler, C. Faloutsos, Deepayan Chakrabarti, 2010, 1004.0060.

Mining and Forecasting of Big Time-Series Data

Christos Faloutsos, Yasushi Sakurai, Yasuko Matsubara, 2015, 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).

Indexing of Multimedia Data

Christos Faloutsos, C. Faloutsos, 1997, Multimedia Databases in Perspective.

Protein complex identification by supervised graph local clustering

Yanjun Qi, Christos Faloutsos, Ziv Bar-Joseph, 2008, ISMB.

MindReader: Querying Databases Through Multiple Examples

Christos Faloutsos, Yoshiharu Ishikawa, Ravishankar Subramanya, 1998, VLDB.

Analysis of the n-Dimensional Quadtree Decomposition for Arbitrary Hyperectangles

Christos Faloutsos, Yannis Manolopoulos, H. V. Jagadish, 1997, IEEE Trans. Knowl. Data Eng..

Analysis of the clustering of Peano curves

C. Faloutsos, Yi Rong, 1991 .

SMF: Drift-Aware Matrix Factorization with Seasonal Patterns

Christos Faloutsos, Bryan Hooi, Shenghua Liu, 2019, SDM.

Compressed-domain video indexing techniques using DCT and motion vector information in MPEG video

Christos Faloutsos, David S. Doermann, King-Ip Lin, 1997, Electronic Imaging.

Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms

Christos Faloutsos, Peng Cui, Bryan Hooi, 2016, IEEE Transactions on Knowledge and Data Engineering.

Spectral counting of triangles via element-wise sparsification and triangle-based link recommendation

Christos Faloutsos, Charalampos E. Tsourakakis, Petros Drineas, 2011, Social Network Analysis and Mining.

OBE: Outlier by Example

Christos Faloutsos, Hiroyuki Kitagawa, Spiros Papadimitriou, 2004, PAKDD.

AutoSplit: Fast and Scalable Discovery of Hidden Variables in Stream and Multimedia Databases

Christos Faloutsos, Hiroyuki Kitagawa, Jia-Yu Pan, 2004, PAKDD.

Statistical Properties of Social Networks

Christos Faloutsos, Leman Akoglu, Mary McGlohon, 2011, Social Network Data Analytics.

Topological properties of robust biological and computational networks

C. Faloutsos, Z. Bar-Joseph, S. Navlakha, 2014, Journal of The Royal Society Interface.

A Comparative Study of Feature Vector-Based Topic Detection Schemes A Comparative Study of Feature Vector-Based Topic Detection Schemes

Christos Faloutsos, Hiroyuki Kitagawa, Jia-Yu Pan, 2005, International Workshop on Challenges in Web Information Retrieval and Integration.

OPAvion: mining and visualization in large graphs

Danai Koutra, Christos Faloutsos, Leman Akoglu, 2012, SIGMOD Conference.

FALCON: Feedback Adaptive Loop for Content-Based Retrieval

Christos Faloutsos, Terry R. Payne, Katia P. Sycara, 2000, VLDB.

Constructing seminal paper genealogy

Christos Faloutsos, Sang-Wook Kim, Duck-Ho Bae, 2011, CIKM '11.

Forecasting Big Time Series: Theory and Practice

Christos Faloutsos, Tim Januschowski, Valentin Flunkert, 2019, KDD.

Fast and Effective Retrieval of Medical Tumor Shapes

Christos Faloutsos, Eliot L. Siegel, Nikolaos D. Sidiropoulos, 1998, IEEE Trans. Knowl. Data Eng..

Density biased sampling: an improved method for data mining and clustering

Christos Faloutsos, Christopher R. Palmer, C. Faloutsos, 2000, SIGMOD '00.

Modeling skewed distributions using multifractals and the W-20 law ’

C. Faloutsos, Murray, Hill, 1996 .

TensorCast: Forecasting with Context Using Coupled Tensors (Best Paper Award)

Christos Faloutsos, Pedro Manuel Pinto Ribeiro, Miguel Ramos de Araujo, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Christos Faloutsos, Rakesh Agrawal, Arun N. Swami, 1993, FODO.

EVENT DETECTION IN TIME SERIES OF MOBILE COMMUNICATION GRAPHS

C. Faloutsos, L. Akoglu, 2010 .

High-order concept discovery in functional brain imaging

Christos Faloutsos, Vasileios Megalooikonomou, Feroze B. Mohamed, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Fast Robustness Estimation in Large Social Graphs: Communities and Anomaly Detection

Christos Faloutsos, Vasileios Megalooikonomou, Fragkiskos D. Malliaros, 2012, SDM.

TWave: High-order analysis of functional MRI

Christos Faloutsos, Vasileios Megalooikonomou, Feroze B. Mohamed, 2011, NeuroImage.

Indexing Large Collections of Tumor-Like Shapes

Christos Faloutsos, Eliot L. Siegel, Flip Korn, 1998 .

EyeQual: Accurate, Explainable, Retinal Image Quality Assessment

Christos Faloutsos, Pedro Costa, Aurélio J. C. Campilho, 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

Education, Learning and Information Theory

Hyun Ah Song, Christos Faloutsos, Bryan Hooi, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

FastStep: Scalable Boolean Matrix Decomposition

Christos Faloutsos, Miguel Araujo, Pedro Manuel Pinto Ribeiro, 2016, PAKDD.

Less is More: Compact Matrix Decomposition for Large Sparse Graphs

Jimeng Sun, Christos Faloutsos, Yinglian Xie, 2007, SDM.

TensorSplat: Spotting Latent Anomalies in Time

Danai Koutra, Christos Faloutsos, Evangelos E. Papalexakis, 2012, 2012 16th Panhellenic Conference on Informatics.

Fast Indexing and Visualization of Metric Data Sets using Slim-Trees

Christos Faloutsos, Bernhard Seeger, Agma J. M. Traina, 2002, IEEE Trans. Knowl. Data Eng..

Provably Robust Node Classification via Low-Pass Message Passing

C. Faloutsos, Wei Wang, Shenghua Liu, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Euripides G. M. Petrakis, Christos Faloutsos, C. Faloutsos, 1994 .

AWSOM : Adaptive , Hands-Off Stream Mining Spiros Papadimitriou

C. Faloutsos, A. Brockwell, 2003 .

Fast Time Sequence Indexing for Arbitrary L P Norms Fast Time Sequence Indexing for Arbitrary L P Norms

C. Faloutsos, Byoung-Kee Yi, 2009 .

E(cid:14)cient Retrieval of Similar Time Sequences Under Time Warping

C. Faloutsos, Byoung-Kee Yi, WarpingByoung, 2007 .

A Symbolic Representation of Time Series Employing Key-Sequences and a Hierarchical Approach

C. Faloutsos, V. Megalooikonomou, Q. Wang, 2003 .

Data Mining for Co-Evolving Time Sequences

C. Faloutsos, H. Jagadish, Byoung-Kee Yi, 1999 .

Quanti able Data Mining Using Principal

C. Faloutsos, A. Labrinidis, Y. Kotidis, 2007 .

Quantiiable Data Mining Using Principal Component Analysis

C. Faloutsos, A. Labrinidis, Flip R. Korn, 2006 .

MAGIC : Graph-based Cross Media Correlation Detection

C. Faloutsos, Jia-Yu Pan, Hyung-Jeong Yang, 2022 .

C. Faloutsos, R. Agrawal, A. Swami, 2004 .

A survey of information retrieval and filtering methods

Douglas W. Oard, C. Faloutsos, D. Oard, 1995 .

The TV-Tree: An Index Structure for High-Dimensional Data

C. Faloutsos, King-lp Lin, H. V. Jagadish, 1994, VLDB J..

Declustering Spatial Databases on a M U L T I -c O M P U T E R a R C H I T E C T U R E

C. Faloutsos, 2022 .

Quantifying Reciprocity in Large Weighted Communication Networks

Christos Faloutsos, Leman Akoglu, Pedro O. S. Vaz de Melo, 2012, PAKDD.

SHIFTR : A Fast and Scalable System for Ad Hoc Sensemaking of Large Graphs

Duen Horng Chau, Jason I. Hong, C. Faloutsos, 2011 .

Future Directions in Tensor-Based Computation and Modeling

Michael W. Mahoney, Brett W. Bader, Martin J. Mohlenkamp, 2009 .

Unsupervised Models for Spatial , Temporal and Relational Systems

Kathleen M. Carley, C. Faloutsos, C. Butts, 2009 .

The Evolution of the Internet : Topology and Routing

C. Faloutsos, Georgos Siganos Michalis Faloutsos, 2022 .

Food Web

C. Faloutsos, George Siganos, 2021, Encyclopedic Dictionary of Archaeology.

Laws of Graph Evolution: Densification and Shrinking Diameters

J. Leskovec, C. Faloutsos, J. Kleinberg, 2006 .

KDD 2017 Tutorial : Data-Driven Approaches towards Malicious Behavior Modeling

V. S. Subrahmanian, Srijan Kumar, C. Faloutsos, 2017 .

HaTen2: Billion-scale tensor decompositions

Christos Faloutsos, Evangelos E. Papalexakis, U Kang, 2015, 2015 IEEE 31st International Conference on Data Engineering.

OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision

C. Faloutsos, Jiawei Han, Jingbo Shang, 2022, WWW.

Power-Hop: A Pervasive Observation for Real Complex Networks

Christos Faloutsos, Konstantinos Pelechrinis, Bryan Hooi, 2016, PloS one.

S EDAN S POT : Detecting Anomalies in Edge Streams Supplementary

C. Faloutsos, D. Eswaran, 2018 .

Real-Time Anomaly Detection in Edge Streams

C. Faloutsos, R. Liu, Bryan Hooi, 2020, ACM Trans. Knowl. Discov. Data.

RolX : Extracting Predictive Roles from Graphs

C. Faloutsos, Sugato Basu, B. Gallagher, 2011 .

Spatio-temporal mining of software adoption & penetration

Tudor Dumitras, Christos Faloutsos, Duen Horng Chau, 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).

Principled Neuro-Functional Connectivity Discovery

Nikos D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell, 2015, SDM.

Automated modeling and nonlinear axis scaling

Christos Faloutsos, Leejay Wu, C. Faloutsos, 2005 .

Detecting discriminative functional MRI activation patterns using space filling curves

Christos Faloutsos, Vasileios Megalooikonomou, Despina Kontos, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Social Influence Based Clustering of Heterogeneous Information Networks

Andrei Broder, Christos Faloutsos, Jiawei Han, 2013 .

Islands and Bridges: Making Sense of Marked Nodes in Large Graphs ?

Christos Faloutsos, Hanghang Tong, Leman Akoglu, 2013 .

Content based Image Retrieval System with Watermarks and Relevance Feedback

C. Faloutsos, M. Flickner, P. Yanker, 2016 .

Data mining on large graphs

Christos Faloutsos, Phillip B. Gibbons, Christopher R. Palmer, 2002 .

NetSimile : Scalable Network Similarity via Multiple Social Theories

C. Faloutsos, Tina Eliassi-Rad, Danai Koutra, 2014 .

Information Propagation and Network Evolution on the Web

C. Faloutsos, N. Glance, Mary McGlohon, 2007 .

Fractional Immunization in Hospital-transfer Graphs

Christos Faloutsos, Hanghang Tong, B. Aditya Prakash, 2011 .

A survey of information retrieval and filtering methods

Christos Faloutsos, Douglas W. Oard, C. Faloutsos, 1995 .

MidiFind : Fast and Effective Similarity Searching in Large MIDI databases

C. Faloutsos, Guangyu Xia, R. Dannenberg, 2013 .

Reduction of Disk Accesses in Multidimensional Data Structures

Morgan B Kaufmann, D. Shasha, T. Pavlidis, 2015 .

GeoTense : Spotting Patterns in Geo-Social Composite Networks with Tensors

C. Faloutsos, E. Papalexakis, K. Pelechrinis, 2015 .

A survey of information retrieval and filtering methods

C. Faloutsos, D. Oard, 1995 .

Quantifiable data mining using principal component analysis

Christos Faloutsos, Alexandros Labrinidis, Flip Korn, 1997 .

Efficient Discovery of Unusual Patterns in Time Series

Christos Faloutsos, Agma J. M. Traina, Caetano Traina, 2006, New Gener. Comput..

Storage device performance prediction with CART models

Using Utility to Provision Storage Systems (CMU-PDL-07-106)

Christos Faloutsos, Gregory R. Ganger, John D. Strunk, 2007 .

Reading Material

C. Faloutsos, 2007 .

Fraud Detection Using Social Network Analysis: A Case Study

Christos Faloutsos, Duen Horng Chau, C. Faloutsos, 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

and Independence : Analysis of R-trees Using the Concept of F!ractal Dimension

C. Faloutsos, I. Kamel, 1994 .

Bulletin of the Technical Committee on Data Engineering Special Issue on Data Reduction Techniques Announcements and Notices Editor-in-chief Tc Executive Committee Letter from the Editor-in-chief 1 Technical Committee Election This Issue Changing Editorial Staff Letter from the Special Issue Editor

Joseph M. Hellerstein, K. A. Ross, C. Faloutsos, 2022 .

Less is More: Sparse Graph Mining with Compact Matrix Decomposition

Jimeng Sun, Christos Faloutsos, Yinglian Xie, 2008, Stat. Anal. Data Min..

ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning

G. Karypis, C. Faloutsos, Zhenwei Dai, 2022, LoG.

Signature files: an access method for textual messages

Christos Nick Faloutsos, C. Faloutsos, 1986 .

Mining Billion-Scale Graphs : Patterns and Algorithms

C. Faloutsos, 2012 .

Fast Anomaly Discovery Given Duplicates

Jay Yoon Lee, U. Kang, C. Faloutsos, 2012 .

Nimble GNN Embedding with Tensor-Train Decomposition

G. Karypis, C. Faloutsos, R. Vuduc, 2022, KDD.

CGC: Contrastive Graph Clustering forCommunity Detection and Tracking

Nesreen K. Ahmed, Ryan A. Rossi, C. Faloutsos, 2022, WWW.

Performance Considerations in Message Files

Christos Faloutsos, Stavros Christodoulakis, C. Faloutsos, 1982, Int. CMG Conference.

SIGMOD 1999, Proceedings ACM SIGMOD International Conference on Management of Data, June 1-3, 1999, Philadelphia, Pennsylvania, USA

Christos Faloutsos, Alex Delis, Shahram Ghandeharizadeh, 1999 .

Declustering R-trees on multi-computer architectures

Christos Faloutsos, Ibrahim Kamel, Nick Koudas, 1994 .

15-826: Multimedia Databases and Data Mining

Christos Faloutsos, C. Faloutsos, 2008 .

Are all brains wired equally

Rex E. Jung, Danai Koutra, Christos Faloutsos, 2013 .

CAMLP: Confidence-Aware Modulated Label Propagation

Christos Faloutsos, Hiroyuki Kitagawa, Yuto Yamaguchi, 2016, SDM.

Large Graph Mining: Patterns, Tools and Case Studies

Christos Faloutsos, Hanghang Tong, C. Faloutsos, 2009 .

A Multimedia Office Filing System

Christos Faloutsos, Stavros Christodoulakis, D. Lee, 1983, VLDB.

Proceedings of the ACM SIGKDD 2014 Full-day Workshop on Interactive Data Exploration and Analytics

Christos Faloutsos, Polo Chau, Jilles Vreeken, 2013 .

Detecting anomalies in dynamic rating data

Christos Faloutsos, Nikou Günnemann, Stephan Günnemann, 2014, KDD 2014.

Indexing Multimedia Databases (Tutorial)

Christos Faloutsos, C. Faloutsos, 1995, SIGMOD Conference.

Fast Monitoring Proximity and Centrality on Time‐evolving Bipartite Graphs

Philip S. Yu, Christos Faloutsos, Hanghang Tong, 2008, Stat. Anal. Data Min..

Editorial: TKDE Topic Area Revisions

Xindong Wu, Christos Faloutsos, C. Faloutsos, 2005, IEEE Trans. Knowl. Data Eng..

Session details: Big graph mining 2014 workshop

Christos Faloutsos, Polo Chau, Leman Akoglu, 2014, The Web Conference.

Mining Time Series Data

Christos Faloutsos, C. Faloutsos, 2005, SBBD.

Database Management Systems Data Mining - Data Cubes

Christos Faloutsos, Anastassia Ailamaki, C. Faloutsos, 2001 .

Tensor Analysis – Applications and Algorithms

Christos Faloutsos, C. Faloutsos, 2017 .

Euripides G. M. Petrakis, Christos Faloutsos, C. Faloutsos, 1994 .

Packed R-trees Using Fractals

Christos Faloutsos, Ibrahim Kamel, C. Faloutsos, 1998 .

Bulletin of the Technical Committee on

Peter J. Haas, Christos Faloutsos, Kenneth A. Ross, 1998 .

Signature Files

Christos Faloutsos, C. Faloutsos, 1992, Information Retrieval: Data Structures & Algorithms.

Graph Mining Techniques for Social Media Analysis

Christos Faloutsos, Mary McGlohon, C. Faloutsos, 2008 .

E(cid:14)cient Similarity Search In Sequence Databases

C. Faloutsos, Agrawal, Arun, 2007 .

The R+ - tree : A Dynamic Index for Multi - dimensional Data

Christos Faloutsos, Nick Roussopoulos, Timos Sellis, 1987, VLDB 1987.

Graph Patterns and the R‐Mat Generator

Christos Faloutsos, Deepayan Chakrabarti, C. Faloutsos, 2006 .

Graph analysis: laws & tools

Christos Faloutsos, C. Faloutsos, 2008 .

Proceedings of the 1999 ACM SIGMOD international conference on Management of data

Christos Faloutsos, Susan B. Davidson, C. Faloutsos, 1999, SIGMOD 1999.

An Efficient Pictorial Database System

Christos Faloutsos, Nick Roussopoulos, C. Faloutsos, 1988 .

PSQL: An Efficient Pictorial Database System.

Christos Faloutsos, Nick Roussopoulos, Timos Sellis, 1987 .

Storage Device Performance Prediction with CART Models (CMU-PDL-04-103)

Christos Faloutsos, Gregory R. Ganger, Anastassia Ailamaki, 2004 .

High Performance Engineering Information Systems.

Christos Faloutsos, Nick Roussopoulos, Timos Sellis, 1987 .

Sensor Data Mining: Similarity Search and Pattern Analysis

Christos Faloutsos, C. Faloutsos, 2002, VLDB.

EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection

Christos Faloutsos, Bryan Hooi, Wenjie Feng, 2021, Future Gener. Comput. Syst..

Interactive Outlier Detection Adaptive to Users' Intentions (夏のデータベースワークショップ(DBWS2004))

Christos Faloutsos, Hiroyuki Kitagawa, Spiros Papadimitriou, 2004 .

Spotting Anomalies in Cyber Physical Datasets: The case of Mobility Data

Christos Faloutsos, Konstantinos Pelechrinis, Evangelos E. Papalexakis, 2015 .

POWERFUL TOOLS FOR DATA MINING: FRACTALS, POWER LAWS, SVD AND MORE

Christos Faloutsos, C. Faloutsos, 2005 .

VolTime: Unsupervised Anomaly Detection on Users' Online Activity Volume

Christos Faloutsos, Agma J. M. Traina, Alceu Ferraz Costa, 2017, SDM.

An Artificial Pictorial Database System for PQSL

Christos Faloutsos, Nick Roussopoulos, Timos Sellis, 1988 .

Selectivity Estimation of Window Queries.

Christos Faloutsos, Guido Proietti, C. Faloutsos, 1998, CIKM 1998.

Real-Time Anomaly Detection in Edge Streams

Christos Faloutsos, Bryan Hooi, Siddharth Bhatia, 2020, ACM Trans. Knowl. Discov. Data.

GeoTense: Spotting Patterns in Geo-Social Networks with Tensors

Christos Faloutsos, Konstantinos Pelechrinis, Evangelos E. Papalexakis, 2015 .

DAPs: Mining using Change-Point Detection of Epileptic Activity Time Series Data

Christos Faloutsos, Lei Li, Hyung-Jeong Yang, 2017, Journal of information science and engineering.

Collective knowledge graph multi-type entity alignment

Christos Faloutsos, Qi Zhu, Da Zheng, 2020 .

Active disks for large - scale FLASH MEMORY - BASED FILE SYSTEM ON CHIP 1885 data processing

Christos Faloutsos, Garth A. Gibson, Erik Riedel, 2001 .

Diamond-Tree: An Index Structure for High-Dimensionality Approximate Searching

Christos Faloutsos, Hosagrahar V. Jagadish, C. Faloutsos, 1992 .

Indexing and mining time sequences

Christos Faloutsos, Lei Li, C. Faloutsos, 2010, KDD 2010.

EVOLUTION DATA MINING

Christos Faloutsos, Padhraic Smyth, Daryl Pregibon, 2002 .

Panel on Mining the Big Data

Christos Faloutsos, Michael I. Jordan, Jiawei Han, 2012, Knowledge Discovery and Data Mining.

Graph evolution: Densification and shrinking diameters

J. Leskovec, C. Faloutsos, J. Kleinberg, 2006, TKDD.

HADI

Charalampos E. Tsourakakis, J. Leskovec, U. Kang, 2011, ACM Transactions on Knowledge Discovery from Data.

DEWS 2004 7C-05 Outlier Detection Adaptive to Users ’ Intentions

C. Faloutsos, S. Papadimitriou, H. Kitagawa, 2004 .

SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success

C. Faloutsos, Jaemin Yoo, Meng-Chieh Lee, 2022, ArXiv.

Mining and Forecasting of Big Time-Series Data

Sakurai Yasushi, C. Faloutsos, Yasuko Matsubara, 2015, 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).

Ecosystem on the Web : Non-Linear Dynamical Systems for Online Social Activities

C. Faloutsos, Yasuko Matsubara, Yasushi Sakurai, 2017 .

Fraud Detection using Graph Topology and Temporal Spikes

C. Faloutsos, Shenghua Liu, Bryan Hooi, 2017 .

C. Faloutsos, 1993 .

Modeling skewed distributions using multifractals and the W-20 law ’

C. Faloutsos, Murray, Hill, 1996 .

TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking

Duen Horng Chau, Andreas M. Olligschlaeger, C. Faloutsos, 2022, IEEE Transactions on Visualization and Computer Graphics.

Cascading Behavior in Large Blog Graphs Patterns and a model

J. Leskovec, C. Faloutsos, N. Glance, 2006 .

SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success

C. Faloutsos, Jaemin Yoo, Meng-Chieh Lee, 2022, ArXiv.

SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success

C. Faloutsos, Jaemin Yoo, Meng-Chieh Lee, 2022, ArXiv.

MassExodus: modeling evolving networks in harsh environments

C. Faloutsos, Z. Bar-Joseph, Saket Navlakha, 2015, Data Mining and Knowledge Discovery.

Discovery of “comet” communities in temporal and labeled graphs Com$$^2$$2

A. Swami, C. Faloutsos, Danai Koutra, 2016, Knowledge and Information Systems.

Autonomous graph mining algorithm search with best performance trade-off

C. Faloutsos, Bryan Hooi, Minji Yoon, 2022, Knowledge and Information Systems.

WebHound: a data-driven intrusion detection from real-world web access logs

Albert B. Jeng, C. Faloutsos, Hahn-Ming Lee, 2019, Soft Computing.

The A dynamic index for multidimensional ob-jects

Christos Faloutsos, Nick Roussopoulos, Timos Sellis, 1987, Very Large Data Bases Conference.

Tools and Algorithms for Querying and Mining Large Graphs

Philip S. Yu, J. Schneider, C. Faloutsos, 2008 .

Accurate Approximation of the Earth Mover’s Distance in Linear Time

C. Faloutsos, Sunju Park, Sang-Wook Kim, 2014, Journal of Computer Science and Technology.

UltraProp: Principled and Explainable Propagation on Large Graphs

C. Faloutsos, Jaemin Yoo, Meng-Chieh Lee, 2023, ArXiv.

Graph Mining: Laws, Tools, and Case Studies

Christos Faloutsos, Deepayan Chakrabarti, C. Faloutsos, 2012, Synthesis Lectures on Data Mining and Knowledge Discovery.

"GeoPlot": spatial data mining on video libraries

Christos Faloutsos, Jia-Yu Pan, C. Faloutsos, 2002, CIKM '02.

Net-Ray: Visualizing and Mining Billion-Scale Graphs

Danai Koutra, Christos Faloutsos, U Kang, 2014, PAKDD.

The Omni-family of all-purpose access methods: a simple and effective way to make similarity search more efficient

Christos Faloutsos, Marcos R. Vieira, Agma J. M. Traina, 2007, The VLDB Journal.

Distance Exponent: A New Concept for Selectivity Estimation in Metric Trees

Christos Faloutsos, Agma J. M. Traina, Caetano Traina, 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073).

QuMinS: Fast and scalable querying, mining and summarizing multi-modal databases

Christos Faloutsos, Gunhee Kim, Fan Guo, 2014, Inf. Sci..

Fractional Immunization in Networks

Christos Faloutsos, Hanghang Tong, Lada A. Adamic, 2013, SDM.

Interacting viruses in networks: can both survive?

Christos Faloutsos, Ronald Rosenfeld, B. Aditya Prakash, 2012, KDD.

Winner takes all: competing viruses or ideas on fair-play networks

Christos Faloutsos, Ronald Rosenfeld, B. Aditya Prakash, 2012, WWW.

Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point

Michalis Faloutsos, Christos Faloutsos, Hanghang Tong, 2011, Networking.

Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms

Michalis Faloutsos, Christos Faloutsos, Hanghang Tong, 2010, ECML/PKDD.

ShatterPlots: Fast Tools for Mining Large Graphs

Ana Paula Appel, Christos Faloutsos, Jure Leskovec, 2009, SDM.

Modeling Blog Dynamics

Christos Faloutsos, Jure Leskovec, Michaela Götz, 2009, ICWSM.

Epidemic thresholds in real networks

Christos Faloutsos, Jure Leskovec, Yang Wang, 2008, TSEC.

Cascading Behavior in Large Blog Graphs

Christos Faloutsos, Jure Leskovec, Matthew Hurst, 2007 .

Tools for large graph mining

Christos Faloutsos, Deepayan Chakrabarti, C. Faloutsos, 2005 .

Classical and Contemporary Approaches to Big Time Series Forecasting

Christos Faloutsos, Tim Januschowski, Jan Gasthaus, 2019, SIGMOD Conference.

Fast Algorithms for Mining Co-evolving Time Series

Christos Faloutsos, Lei Li, C. Faloutsos, 2011 .

Fast algorithms for time series mining

Christos Faloutsos, Lei Li, C. Faloutsos, 2010, 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010).

Designing Access Methods for Bitemporal Databases

Christos Faloutsos, Anil Kumar, Vassilis J. Tsotras, 1998, IEEE Trans. Knowl. Data Eng..

Hilbert R-tree: An Improved R-tree using Fractals

Christos Faloutsos, Ibrahim Kamel, C. Faloutsos, 1994, VLDB.

On packing R-trees

Christos Faloutsos, Ibrahim Kamel, C. Faloutsos, 1993, CIKM '93.

Analysis of object oriented spatial access methods

Christos Faloutsos, Timos K. Sellis, Nick Roussopoulos, 1987, SIGMOD '87.

Real-Time Streaming Anomaly Detection in Dynamic Graphs pdf

Bryan Hooi, Christos Faloutsos, Siddharth Bhatia, 2020, ArXiv.

MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams pdf

Christos Faloutsos, Bryan Hooi, Siddharth Bhatia, 2019, AAAI.

How to improve the pruning ability of dynamic metric access methods

Christos Faloutsos, Agma J. M. Traina, Caetano Traina, 2002, CIKM '02.

Christos Faloutsos, Agma J. M. Traina, Caetano Traina, 2001, Proceedings 17th International Conference on Data Engineering.

Pattern Recognition and Anomaly Detection in Bookkeeping Data

C. Faloutsos, L. Akoglu, Jinghong Liang, 2021 .

Catching Synchronized Behaviors in Large Networks

Christos Faloutsos, Peng Cui, Shiqiang Yang, 2016, ACM Trans. Knowl. Discov. Data.

Inferring lockstep behavior from connectivity pattern in large graphs

Christos Faloutsos, Peng Cui, Shiqiang Yang, 2016, Knowledge and Information Systems.

Scalable community discovery from multi-faceted graphs

Christos Faloutsos, Jia-Yu Pan, Ahmed Metwally, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Anomaly detection in dynamic networks: a survey

Steve Harenberg, Nagiza F. Samatova, Danai Koutra, 2015 .

Estimating robustness in large social graphs

Christos Faloutsos, Vasileios Megalooikonomou, Fragkiskos D. Malliaros, 2014, Knowledge and Information Systems.

Beyond Blocks: Hyperbolic Community Detection

Christos Faloutsos, Gonzalo Mateos, Stephan Günnemann, 2014, ECML/PKDD.

CatchSync: catching synchronized behavior in large directed graphs

Christos Faloutsos, Peng Cui, Shiqiang Yang, 2014, KDD.

Inferring Strange Behavior from Connectivity Pattern in Social Networks

Christos Faloutsos, Peng Cui, Shiqiang Yang, 2014, PAKDD.

Com2: Fast Automatic Discovery of Temporal ('Comet') Communities

Ananthram Swami, Danai Koutra, Christos Faloutsos, 2014, PAKDD.

Large Graph Analysis in the GMine System

Christos Faloutsos, Hanghang Tong, José Fernando Rodrigues, 2015, IEEE Transactions on Knowledge and Data Engineering.

Graph Mining Techniques: Focusing on discriminating between real and synthetic graphs

Ana Paula Appel, Christos Faloutsos, Caetano Traina, 2011, Graph Data Management.

GraphScope: parameter-free mining of large time-evolving graphs

Philip S. Yu, Jimeng Sun, Christos Faloutsos, 2007, KDD '07.

Electricity Based External Similarity of Categorical Attributes

Christos Faloutsos, Christopher R. Palmer, C. Faloutsos, 2003, PAKDD.

Beyond Outlier Detection: LookOut for Pictorial Explanation

Christos Faloutsos, Leman Akoglu, Neil Shah, 2018, ECML/PKDD.

Finding Clusters in subspaces of very large, multi-dimensional datasets

Christos Faloutsos, Agma J. M. Traina, Caetano Traina, 2010, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010).

ZooBP: Belief Propagation for Heterogeneous Networks

Christos Faloutsos, Stephan Günnemann, Mohit Kumar, 2017, Proc. VLDB Endow..

EdgeCentric: Anomaly Detection in Edge-Attributed Networks

Christos Faloutsos, Leman Akoglu, Stephan Günnemann, 2015, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

Colibri: fast mining of large static and dynamic graphs

Philip S. Yu, Jimeng Sun, Christos Faloutsos, 2008, KDD.

PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs

Christos Faloutsos, Hanghang Tong, Leman Akoglu, 2012, SDM.

Fast Random Walk with Restart and Its Applications

Christos Faloutsos, Hanghang Tong, Jia-Yu Pan, 2006, Sixth International Conference on Data Mining (ICDM'06).

Neighborhood formation and anomaly detection in bipartite graphs

Jimeng Sun, Christos Faloutsos, Deepayan Chakrabarti, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Sampling from large graphs

Christos Faloutsos, Jure Leskovec, J. Leskovec, 2006, KDD '06.

Hierarchical, Parameter-Free Community Discovery

Philip S. Yu, Jimeng Sun, Christos Faloutsos, 2008, ECML/PKDD.

SlashBurn: Graph Compression and Mining beyond Caveman Communities

Christos Faloutsos, Yongsub Lim, U Kang, 2014, IEEE Transactions on Knowledge and Data Engineering.

RTG: a recursive realistic graph generator using random typing

Christos Faloutsos, Leman Akoglu, C. Faloutsos, 2009, Data Mining and Knowledge Discovery.

EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs

Christos Faloutsos, Mukund Seshadri, Sridhar Machiraju, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Linearized and Single-Pass Belief Propagation

Danai Koutra, Christos Faloutsos, Stephan Günnemann, 2014, Proc. VLDB Endow..

Non-binary information propagation: Modeling BGP routing churn

Michalis Faloutsos, Christos Faloutsos, B. Aditya Prakash, 2011, 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

Power laws and the AS-level internet topology

Michalis Faloutsos, Christos Faloutsos, Petros Faloutsos, 2003, TNET.

FastMap: a fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets

Christos Faloutsos, King-Ip Lin, C. Faloutsos, 1995, SIGMOD '95.

Indexing multimedia databases

Christos Faloutsos, C. Faloutsos, 1995, SIGMOD '95.

Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm pdf

Christos Faloutsos, Jelena Kovacevic, Siheng Chen, 2017, ArXiv.

Fast best-effort pattern matching in large attributed graphs

Christos Faloutsos, Hanghang Tong, Tina Eliassi-Rad, 2007, KDD '07.

Visualization of large networks with min-cut plots, A-plots and R-MAT

Christos Faloutsos, Deepayan Chakrabarti, Yiping Zhan, 2007, Int. J. Hum. Comput. Stud..

On data mining, compression, and Kolmogorov complexity

Christos Faloutsos, Vasileios Megalooikonomou, C. Faloutsos, 2007, Data Mining and Knowledge Discovery.

Quantifiable data mining using ratio rules

Christos Faloutsos, Alexandros Labrinidis, Flip Korn, 2000, The VLDB Journal.

Ensemble Methods

C. Faloutsos, J. Stasko, Jeffrey Heer, 2019, Machine Learning with Spark™ and Python®.

The Power of Certainty: A Dirichlet-Multinomial Model for Belief Propagation

Christos Faloutsos, Stephan Günnemann, Dhivya Eswaran, 2017, SDM.

Linearized and Turbo Belief Propagation pdf

Danai Koutra, Christos Faloutsos, Stephan Günnemann, 2014, ArXiv.

Data Mining Meets HCI: Making Sense of Large Graphs

Aniket Kittur, Christos Faloutsos, Jason Hong, 2012 .

Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms

Danai Koutra, Christos Faloutsos, Hsing-Kuo Kenneth Pao, 2011, ECML/PKDD.

Using ghost edges for classification in sparsely labeled networks

Christos Faloutsos, Hanghang Tong, Tina Eliassi-Rad, 2008, KDD.

Semi-Supervised Learning Based on Semiparametric Regularization

Christos Faloutsos, Zhen Guo, Eric P. Xing, 2008, SDM.

Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection

Christos Faloutsos, Xueqi Cheng, Bryan Hooi, 2019, PAKDD.

EagleMine: Vision-Guided Mining in Large Graphs pdf

Christos Faloutsos, Xueqi Cheng, Bryan Hooi, 2017, ArXiv.

Outlier detection by example

Christos Faloutsos, Hiroyuki Kitagawa, Spiros Papadimitriou, 2011, Journal of Intelligent Information Systems.

DeltaCon: Principled Massive-Graph Similarity Function with Attribution

Danai Koutra, Christos Faloutsos, Brian Gallagher, 2016, ACM Trans. Knowl. Discov. Data.

Automated Learning and Discovery State-of-the-Art and Research Topics in a Rapidly Growing Field

Christos Faloutsos, Sebastian Thrun, Larry A. Wasserman, 1999, AI Mag..

Selectivity estimation of Window queries for line segment datasets

Christos Faloutsos, Guido Proietti, C. Faloutsos, 1998, CIKM '98.

P-Companion: A Principled Framework for Diversified Complementary Product Recommendation

C. Faloutsos, Yizhou Sun, Wei Wang, 2020, CIKM.

Anomaly Detection in Large Graphs

C. Faloutsos, L. Akoglu, Mary McGlohon, 2020 .

ONE-M: Modeling the Co-evolution of Opinions and Network Connections

Nitesh V. Chawla, Christos Faloutsos, Boleslaw K. Szymanski, 2018, ECML/PKDD.

Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage

Lise Getoor, Xin Luna Dong, Christos Faloutsos, 2020, AKBC.

Data Mining in Large Sets of Complex Data

Christos Faloutsos, Caetano Traina, Robson L. F. Cordeiro, 2013, SpringerBriefs in Computer Science.

Related Work and Concepts

Christos Faloutsos, Robson L. F. Cordeiro, Caetano Traina Junior, 2013 .

The Morgan Kaufmann Series in Data Management Systems

Michael Stonebraker, Philippe Bonnet, Clement T. Yu, 1999 .

Dimensionality Reduction and Forecasting on Streams

Jimeng Sun, Christos Faloutsos, Spiros Papadimitriou, 2007, Data Streams - Models and Algorithms.

EEG-MINE: Mining and Understanding Epilepsy Data

Christos Faloutsos, Hyung-Jeong Yang, Sun-Hee Kim, 2013, PAKDD Workshops.

On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries

Danai Koutra, Christos Faloutsos, Jie Tang, 2016, SDM.

Fast anomaly detection despite the duplicates

Danai Koutra, Christos Faloutsos, U Kang, 2013, WWW.

Fast Outlier Detection Despite the Duplicates

Danai Koutra, Christos Faloutsos, Jay Yoon Lee, 2013, WWW 2013.

Mining and modeling real-world networks: patterns, anomalies, and tools

Christos Faloutsos, Leman Akoglu, C. Faloutsos, 2012 .

Mining and querying multimedia data

Christos Faloutsos, Fan Guo, C. Faloutsos, 2011 .

EigenDiagnostics: Spotting Connection Patterns and Outliers in Large Graphs

Christos Faloutsos, Koji Maruhashi, C. Faloutsos, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Structural Analysis of Large Networks: Observations and Applications

Christos Faloutsos, Alan L. Montgomery, Mary McGlohon, 2010 .

Example-based robust outlier detection in high dimensional datasets

Christos Faloutsos, Hiroyuki Kitagawa, Cui Zhu, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Example-Based Outlier Detection for High Dimensional Datasets

Christos Faloutsos, Hiroyuki Kitagawa, Cui Zhu, 2005 .

Cross-Outlier Detection

Christos Faloutsos, Spiros Papadimitriou, C. Faloutsos, 2003, SSTD.

Tensors for Data Mining and Data Fusion

Nikos D. Sidiropoulos, Christos Faloutsos, Evangelos E. Papalexakis, 2016, ACM Trans. Intell. Syst. Technol..

Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems

Danielle C. Maddix, C. Faloutsos, Rui Wang, 2020, L4DC.

Tensor Decomposition for Signal Processing and Machine Learning

Nikos D. Sidiropoulos, Christos Faloutsos, Lieven De Lathauwer, 2016, IEEE Transactions on Signal Processing.

HADI: Mining Radii of Large Graphs

Ana Paula Appel, Christos Faloutsos, Jure Leskovec, 2011, TKDD.

Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations

Ana Paula Appel, Christos Faloutsos, Jure Leskovec, 2010, SDM.

15-826: Multimedia Databases and Data Mining

Christos Faloutsos, Christopher R. Palmer, C. Faloutsos, 2008 .

Beyond Poisson: Modeling Inter-Arrival Time of Requests in a Datacenter

Christos Faloutsos, Lei Li, Diana Marculescu, 2014, PAKDD.

Weighted Graphs and Disconnected Components

Christos Faloutsos, Leman Akoglu, Mary McGlohon, 2008 .

GMine: a system for scalable, interactive graph visualization and mining

Christos Faloutsos, Jure Leskovec, Hanghang Tong, 2006, VLDB.

Fault-Tolerant Concept Detection in Information Networks

Christos Faloutsos, Stephan Günnemann, Tobias Kötter, 2014, PAKDD.

Large human communication networks: patterns and a utility-driven generator

Christos Faloutsos, Nan Du, Leman Akoglu, 2009, KDD.

Mobile call graphs: beyond power-law and lognormal distributions

Christos Faloutsos, Jure Leskovec, Mukund Seshadri, 2008, KDD.

Detecting Fraudulent Personalities in Networks of Online Auctioneers

Christos Faloutsos, Duen Horng Chau, Shashank Pandit, 2006, PKDD.

CoreScope: Graph Mining Using k-Core Analysis — Patterns, Anomalies and Algorithms

Christos Faloutsos, Tina Eliassi-Rad, Kijung Shin, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Weighted graphs and disconnected components: patterns and a generator

Christos Faloutsos, Leman Akoglu, Mary McGlohon, 2008, KDD.

Fast subsequence matching in time-series databases

Christos Faloutsos, Yannis Manolopoulos, M. Ranganathan, 1994, SIGMOD '94.

Multiattribute hashing using Gray codes

Christos Faloutsos, C. Faloutsos, 1986, SIGMOD '86.

Efficiently spotting the starting points of an epidemic in a large graph

Christos Faloutsos, Jilles Vreeken, B. Aditya Prakash, 2013, Knowledge and Information Systems.

Dynamic Graph-Based Anomaly Detection in the Electrical Grid

C. Faloutsos, Amritanshu Pandey, Bryan Hooi, 2020, IEEE Transactions on Power Systems.

Access Methods for Bi-Temporal Databases

Christos Faloutsos, Anil Kumar, Vassilis J. Tsotras, 1995, Temporal Databases.

RSC: Mining and Modeling Temporal Activity in Social Media

Christos Faloutsos, Yuto Yamaguchi, Alceu Ferraz Costa, 2015, KDD.

Modeling Temporal Activity to Detect Anomalous Behavior in Social Media

Christos Faloutsos, Yuto Yamaguchi, Agma J. M. Traina, 2017, ACM Trans. Knowl. Discov. Data.

PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction

C. Faloutsos, Yizhou Sun, Da Zheng, 2023, WWW.

J-Recs: Principled and Scalable Recommendation Justification pdf

Xin Luna Dong, Christos Faloutsos, Namyong Park, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

REV2: Fraudulent User Prediction in Rating Platforms

Christos Faloutsos, V. S. Subrahmanian, Mohit Kumar, 2018, WSDM.

Edge Weight Prediction in Weighted Signed Networks

Christos Faloutsos, V. S. Subrahmanian, Francesca Spezzano, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks

Christos Faloutsos, Xin Luna Dong, Tong Zhao, 2019, KDD.

Netprobe: a fast and scalable system for fraud detection in online auction networks

Christos Faloutsos, Duen Horng Chau, Shashank Pandit, 2007, WWW '07.

Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective

Christos Faloutsos, Brian Gallagher, Neil Shah, 2014, 2014 IEEE International Conference on Data Mining.

Unsupervised Tensor Mining for Big Data Practitioners

Christos Faloutsos, Evangelos E Papalexakis, C. Faloutsos, 2016, Big Data.

Parallel Randomly Compressed Cubes : A scalable distributed architecture for big tensor decomposition

Nikos D. Sidiropoulos, Christos Faloutsos, Evangelos E. Papalexakis, 2014, IEEE Signal Processing Magazine.

A parallel algorithm for big tensor decomposition using randomly compressed cubes (PARACOMP)

Nikos D. Sidiropoulos, Christos Faloutsos, Evangelos E. Papalexakis, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

PArallel RAndomly COMPressed Cubes ( PARACOMP ) : A Scalable Distributed Architecture for Big Tensor Decomposition

Christos Faloutsos, Evangelos E. Papalexakis, Nicholas D. Sidiropoulos, 2014 .

GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid

Hyun Ah Song, Christos Faloutsos, Lawrence T. Pileggi, 2018, ECML/PKDD.

Fast Time Sequence Indexing for Arbitrary Lp Norms

Christos Faloutsos, Byoung-Kee Yi, C. Faloutsos, 2000, VLDB.

Signature files: an access method for documents and its analytical performance evaluation

Christos Faloutsos, Stavros Christodoulakis, C. Faloutsos, 1984, TOIS.

Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams

Christos Faloutsos, Bryan Hooi, Kijung Shin, 2020, ACM Trans. Knowl. Discov. Data.

Spotting Culprits in Epidemics: How Many and Which Ones?

Christos Faloutsos, Jilles Vreeken, B. Aditya Prakash, 2012, 2012 IEEE 12th International Conference on Data Mining.

Efficiently supporting ad hoc queries in large datasets of time sequences

Christos Faloutsos, H. V. Jagadish, Flip Korn, 1997, SIGMOD '97.

Searching Multimedia Databases by Content

Christos Faloutsos, C. Faloutsos, 1996, Advances in Database Systems.

Patterns of Cascading Behavior in Large Blog Graphs

Christos Faloutsos, Jure Leskovec, Matthew Hurst, 2007, SDM.

Mining large time-evolving data using matrix and tensor tools

Tamara G. Kolda, Jimeng Sun, Christos Faloutsos, 2007, KDD '07.

Skew-Resistant Graph Partitioning

Christos Faloutsos, Alexandros Labrinidis, Angen Zheng, 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

Opinion Fraud Detection in Online Reviews by Network Effects

Christos Faloutsos, Rishi Chandy, Leman Akoglu, 2013, ICWSM.

Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach

Christos Faloutsos, Bryan Hooi, Minji Yoon, 2019, KDD.

SpotLight: Detecting Anomalies in Streaming Graphs

Sudipto Guha, Christos Faloutsos, Nina Mishra, 2018, KDD.

Patterns and anomalies in k-cores of real-world graphs with applications

Christos Faloutsos, Tina Eliassi-Rad, Kijung Shin, 2018, Knowledge and Information Systems.

DOULION: counting triangles in massive graphs with a coin

Christos Faloutsos, Gary L. Miller, Charalampos E. Tsourakakis, 2009, KDD.

Scalable modeling of real graphs using Kronecker multiplication

Christos Faloutsos, Jure Leskovec, J. Leskovec, 2007, ICML '07.

Center-piece subgraphs: problem definition and fast solutions

Christos Faloutsos, Hanghang Tong, C. Faloutsos, 2006, KDD '06.

Beyond streams and graphs: dynamic tensor analysis

Jimeng Sun, Christos Faloutsos, Dacheng Tao, 2006, KDD '06.

Danai Koutra, Christos Faloutsos, Tina Eliassi-Rad, 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).

NetSimile: A Scalable Approach to Size-Independent Network Similarity pdf

Danai Koutra, Christos Faloutsos, Tina Eliassi-Rad, 2012, ArXiv.

PEGASUS: mining peta-scale graphs

Christos Faloutsos, Charalampos E. Tsourakakis, U Kang, 2011, Knowledge and Information Systems.

Efficient Parallel Learning of Hidden Markov Chain Models on SMPs

Christos Faloutsos, Bin Fu, Lei Li, 2010, IEICE Trans. Inf. Syst..

Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps

Christos Faloutsos, Wenjie Fu, Fan Guo, 2008, KDD.

A fast and effective method to find correlations among attributes in databases

Christos Faloutsos, Agma J. M. Traina, Caetano Traina, 2007, Data Mining and Knowledge Discovery.

How to Use the Fractal Dimension to Find Correlations between Attributes

Christos Faloutsos, Elaine P. Machado, Agma J. M. Traina, 2002 .

Data Visualization in RDBMS

Christos Faloutsos, Agma J. M. Traina, Caetano Traina, 2002, ISDB.

Tri-plots: scalable tools for multidimensional data mining

Christos Faloutsos, Agma J. M. Traina, Caetano Traina, 2001, KDD '01.

Informedia-II : Auto-Summarization and Visualization Over Multiple Video

T. Kanade, J. Lafferty, C. Faloutsos, 2001 .

Fast feature selection using fractal dimension

Christos Faloutsos, Agma J. M. Traina, Caetano Traina, 2010, J. Inf. Data Manag..

Forecasting in the NBA and other team sports: Network effects in action

Virgílio A. F. Almeida, Christos Faloutsos, Antonio Alfredo Ferreira Loureiro, 2012, TKDD.

Modeling Website Popularity Competition in the Attention-Activity Marketplace

Bruno Ribeiro, Christos Faloutsos, C. Faloutsos, 2014, WSDM.

Retweeting Activity on Twitter: Signs of Deception

Christos Faloutsos, Athena Vakali, Neil Shah, 2015, PAKDD.

Graph Mining: Laws and Generators

Christos Faloutsos, Deepayan Chakrabarti, Mary McGlohon, 2010, Managing and Mining Graph Data.

Graphs Over Time: Densification and Shrinking Diameters

Christos Faloutsos, Jure Leskovec, Jon M. Kleinberg, 2006 .

Why people hate your app: making sense of user feedback in a mobile app store

Christos Faloutsos, Bin Fu, Lei Li, 2013, KDD.

Facebook wall posts: a model of user behaviors

Michalis Faloutsos, Danai Koutra, Christos Faloutsos, 2017, Social Network Analysis and Mining.

If walls could talk: Patterns and anomalies in Facebook wallposts

Michalis Faloutsos, Danai Koutra, Christos Faloutsos, 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Identifying Web Browsing Trends and Patterns

Christos Faloutsos, Alan L. Montgomery, C. Faloutsos, 2001, Computer.

Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments

Christos Faloutsos, Partha Pratim Talukdar, Evangelos E Papalexakis, 2014, Big Data.

Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments

Nikos D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell, 2014, KDD.

GRAPHITE: A Visual Query System for Large Graphs

Christos Faloutsos, Hanghang Tong, Tina Eliassi-Rad, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Mining Big Time-series Data on the Web

Christos Faloutsos, Yasushi Sakurai, Yasuko Matsubara, 2016, WWW.

Big graph mining: algorithms and discoveries

Christos Faloutsos, U Kang, U. Kang, 2013, SKDD.

Understanding and Managing Cascades on Large Graphs

Christos Faloutsos, B. Aditya Prakash, C. Faloutsos, 2012, Proc. VLDB Endow..

Threshold conditions for arbitrary cascade models on arbitrary networks

Michalis Faloutsos, Christos Faloutsos, Deepayan Chakrabarti, 2011, 2011 IEEE 11th International Conference on Data Mining.

Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data

Christos Faloutsos, C. Faloutsos, 2003, PKDD.

CopyCatch: stopping group attacks by spotting lockstep behavior in social networks

Venkatesan Guruswami, Christos Faloutsos, Alex Beutel, 2013, WWW.

Spatial Query Estimation without the Local Uniformity Assumption

Christos Faloutsos, Yufei Tao, Dimitris Papadias, 2006, GeoInformatica.

The power-method: a comprehensive estimation technique for multi-dimensional queries

Christos Faloutsos, Yufei Tao, Dimitris Papadias, 2003, CIKM '03.

Beyond 'Caveman Communities': Hubs and Spokes for Graph Compression and Mining

Christos Faloutsos, U Kang, U. Kang, 2011, 2011 IEEE 11th International Conference on Data Mining.

Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs

G. Karypis, C. Faloutsos, Han Zhao, 2023, ECML/PKDD.

Analysis of the Clustering Properties of the Hilbert Space-Filling Curve

Christos Faloutsos, Joel H. Saltz, H. V. Jagadish, 2001, IEEE Trans. Knowl. Data Eng..

Robust Data-Driven State Estimation for Smart Grid

Yang Weng, Christos Faloutsos, Marija D. Ilic, 2017, IEEE Transactions on Smart Grid.

TSum: fast, principled table summarization

Christos Faloutsos, Spiros Papadimitriou, Jia-Yu Pan, 2013, ADKDD '13.

DeepFixCX: Explainable privacy‐preserving image compression for medical image analysis

C. Faloutsos, A. Smailagic, P. Costa, 2023, WIREs Data. Mining. Knowl. Discov..

F4: large-scale automated forecasting using fractals

Christos Faloutsos, Deepayan Chakrabarti, C. Faloutsos, 2002, CIKM '02.

EX3: Explainable Attribute-aware Item-set Recommendations

Christos Faloutsos, George Karypis, S. Muthukrishnan, 2021, RecSys.

Analysis of the clustering of Peano curves

C. Faloutsos, Yi Rong, 1991 .

Overlay Striping and Optimal Parallel I/O for Modern Applications

Christos Faloutsos, Peter Triantafillou, C. Faloutsos, 1998, Parallel Comput..

Spotting misbehaviors in location-based social networks using tensors

Christos Faloutsos, Konstantinos Pelechrinis, Evangelos E. Papalexakis, 2014, WWW.

Apolo: making sense of large network data by combining rich user interaction and machine learning

Aniket Kittur, Christos Faloutsos, Duen Horng Chau, 2011, CHI.

The eBay graph: How do online auction users interact?

Duen Horng Chau, C. Faloutsos, M. Faloutsos, 2008, IEEE INFOCOM Workshops 2008.

A linear-time approximation of the earth mover's distance

Christos Faloutsos, Sunju Park, Min-Hee Jang, 2011, CIKM '11.

A novel optimization approach to efficiently process aggregate similarity queries in metric access methods

Christos Faloutsos, Agma J. M. Traina, Caetano Traina, 2008, CIKM '08.

Advanced Database Systems

Christos Faloutsos, Carlo Zaniolo, V. S. Subrahmanian, 1997, Lecture Notes in Computer Science.

Turbo‐SMT: Parallel coupled sparse matrix‐Tensor factorizations and applications

Christos Faloutsos, Brian Murphy, Tom Michael Mitchell, 2016, Stat. Anal. Data Min..

Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x

Nikos D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell, 2014, SDM.

Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization pdf

Nikos D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell, 2013, ArXiv.

Fast mining and forecasting of complex time-stamped events

Christos Faloutsos, Tomoharu Iwata, Masatoshi Yoshikawa, 2012, KDD.

Fast and effective distribution-key recommendation for amazon redshift

Peter Van Bouwel, C. Faloutsos, M. Petropoulos, 2020, Proc. VLDB Endow..

Forecasting Big Time Series: Old and New

Christos Faloutsos, Yuyang Wang, Tim Januschowski, 2018, Proc. VLDB Endow..

Clustering very large multi-dimensional datasets with MapReduce

Christos Faloutsos, Agma J. M. Traina, Caetano Traina, 2011, KDD.

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection pdf

Christos Faloutsos, Leman Akoglu, Stephan Günnemann, 2015, SDM.

Click chain model in web search

Chao Liu, Christos Faloutsos, Fan Guo, 2009, WWW '09.

VOG: Summarizing and Understanding Large Graphs

Danai Koutra, Christos Faloutsos, Jilles Vreeken, 2014, SDM.

PaCK: Scalable parameter-free clustering on K-partite graphs

Christos Faloutsos, Jaime G. Carbonell, Hanghang Tong, 2009, SDM 2009.

Parameter-free spatial data mining using MDL

Christos Faloutsos, Aristides Gionis, Heikki Mannila, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Fully automatic cross-associations

Christos Faloutsos, Deepayan Chakrabarti, Spiros Papadimitriou, 2004, KDD.

Did We Get It Right? Predicting Query Performance in e-Commerce Search pdf

Christos Faloutsos, Mohit Kumar, Neil Shah, 2018, eCOM@SIGIR.

Standards for graph algorithm primitives

Michael Stonebraker, Christos Faloutsos, David A. Bader, 2014, 2013 IEEE High Performance Extreme Computing Conference (HPEC).

Unsupervised modeling of object categories using link analysis techniques

Christos Faloutsos, Martial Hebert, Gunhee Kim, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Parameter pattern discovery in nonlinear dynamic model for EEGs analysis.

Christos Faloutsos, Hyung-Jeong Yang, Seong-Whan Lee, 2016, Journal of integrative neuroscience.

Coercively Adjusted Auto Regression Model for Forecasting in Epilepsy EEG

Christos Faloutsos, Hyung-Jeong Yang, Sun-Hee Kim, 2013, Comput. Math. Methods Medicine.

Anomaly, event, and fraud detection in large network datasets

Christos Faloutsos, Leman Akoglu, C. Faloutsos, 2013, WSDM.

OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization

Philip S. Yu, G. Karypis, C. Faloutsos, 2023, ArXiv.

Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity

Christos Faloutsos, Wenwu Zhu, Peng Cui, 2017, KDD.

An Efficient Pictorial Database System for PSQL

Christos Faloutsos, Timos K. Sellis, Nick Roussopoulos, 1988, IEEE Trans. Software Eng..

GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries

Christos Faloutsos, Abhay Harpale, Evangelos E. Papalexakis, 2012, KDD.

Two heads better than one: pattern discovery in time-evolving multi-aspect data

Jimeng Sun, Christos Faloutsos, Charalampos E. Tsourakakis, 2008, Data Mining and Knowledge Discovery.

Rise and fall patterns of information diffusion: model and implications

Christos Faloutsos, Lei Li, Yasushi Sakurai, 2012, KDD.

NetCube: A Scalable Tool for Fast Data Mining and Compression

Christos Faloutsos, Sebastian Thrun, Dimitris Margaritis, 2001, VLDB.

Frame-Sliced Signature Files

Zheng Lin, Christos Faloutsos, C. Faloutsos, 1992, IEEE Trans. Knowl. Data Eng..

comeNgo: A Dynamic Model for Social Group Evolution

C. Faloutsos, Wenwu Zhu, Shiqiang Yang, 2017, ACM Trans. Knowl. Discov. Data.

Parameter-free spatial and stream mining

Christos Faloutsos, Spiros Papadimitriou, C. Faloutsos, 2005 .

CoBaFi: collaborative bayesian filtering

Alexander J. Smola, Christos Faloutsos, Alex Beutel, 2014, WWW.

Fast Nearest Neighbor Search in Medical Image Databases

Christos Faloutsos, Eliot L. Siegel, Nikolaos D. Sidiropoulos, 1996, VLDB.

Link Mining: Models, Algorithms, and Applications

Philip S. Yu, Christos Faloutsos, Jiawei Han, 2014, Link Mining.

H-Fuse: Efficient Fusion of Aggregated Historical Data

Zongge Liu, Hyun Ah Song, Vladimir Zadorozhny, 2017, SDM.

The self-feeding process: a unifying model for communication dynamics in the web

Christos Faloutsos, Antonio Alfredo Ferreira Loureiro, Renato Assunção, 2013, WWW.

Human Dynamics in Large Communication Networks

Christos Faloutsos, Antonio Alfredo Ferreira Loureiro, Pedro O. S. Vaz de Melo, 2011, SDM.

Prediction and indexing of moving objects with unknown motion patterns

Christos Faloutsos, Yufei Tao, Dimitris Papadias, 2004, SIGMOD '04.

Measuring Evolving Data Streams’ Behavior through Their Intrinsic Dimension

Christos Faloutsos, Agma J. M. Traina, Caetano Traina, 2006, New Generation Computing.

FUNNEL: automatic mining of spatially coevolving epidemics

Christos Faloutsos, Yasushi Sakurai, Yasuko Matsubara, 2014, KDD.

Temporal locality-aware sampling for accurate triangle counting in real graph streams

Christos Faloutsos, Kijung Shin, Dongjin Lee, 2020, The VLDB Journal.

Suspicious Behavior Detection: Current Trends and Future Directions

Christos Faloutsos, Peng Cui, Meng Jiang, 2016, IEEE Intelligent Systems.

Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation

Christos Faloutsos, U Kang, Brendan Meeder, 2011, PAKDD.

SedanSpot: Detecting Anomalies in Edge Streams

Christos Faloutsos, Dhivya Eswaran, C. Faloutsos, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

ImageMap: An Image Indexing Method Based on Spatial Similarity

Euripides G. M. Petrakis, Christos Faloutsos, King-Ip Lin, 2002, IEEE Trans. Knowl. Data Eng..

Deflating the dimensionality curse using multiple fractal dimensions

Christos Faloutsos, Bernd-Uwe Pagel, Flip Korn, 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073).

On the 'Dimensionality Curse' and the 'Self-Similarity Blessing'

Christos Faloutsos, Bernd-Uwe Pagel, Flip Korn, 2001, IEEE Trans. Knowl. Data Eng..

Multimedia indexing over the Web

Christos Faloutsos, Zhengyu Wang, Brent Agnew, 1997, Electronic Imaging.

On the Vulnerability of Large Graphs

Christos Faloutsos, Charalampos E. Tsourakakis, Hanghang Tong, 2010, 2010 IEEE International Conference on Data Mining.

Node Immunization on Large Graphs: Theory and Algorithms

Christos Faloutsos, Hanghang Tong, Charalampos E. Tsourakakis, 2016, IEEE Transactions on Knowledge and Data Engineering.

Apolo: interactive large graph sensemaking by combining machine learning and visualization

Aniket Kittur, Christos Faloutsos, Duen Horng Chau, 2011, KDD.

Eigen-Optimization on Large Graphs by Edge Manipulation

Michalis Faloutsos, Christos Faloutsos, Hanghang Tong, 2016, ACM Trans. Knowl. Discov. Data.

Time series analysis with multiple resolutions

Qiang Wang, Christos Faloutsos, Vasileios Megalooikonomou, 2010, Inf. Syst..

Analysis of n-Dimensional Quadtrees using the Hausdorff Fractal Dimension

Christos Faloutsos, Volker Gaede, C. Faloutsos, 1996, VLDB.

Analytical results on the quadtree decomposition of arbitrary rectangles

Christos Faloutsos, C. Faloutsos, 1992, Pattern Recognit. Lett..

Mining billion-scale tensors: algorithms and discoveries

Christos Faloutsos, Evangelos E. Papalexakis, Lee Sael, 2016, The VLDB Journal.

Incremental tensor analysis: Theory and applications

Philip S. Yu, Jimeng Sun, Christos Faloutsos, 2008, TKDD.

Disk Allocation Methods Using Error Correcting Codes

Christos Faloutsos, Dimitris N. Metaxas, C. Faloutsos, 1991, IEEE Trans. Computers.

Gelling, and melting, large graphs by edge manipulation

Michalis Faloutsos, Christos Faloutsos, Hanghang Tong, 2012, CIKM.

Universal and Distinct Properties of Communication Dynamics

Christos Faloutsos, Antonio Alfredo Ferreira Loureiro, Renato Assunção, 2014, ACM Trans. Knowl. Discov. Data.

Surprising Patterns for the Call Duration Distribution of Mobile Phone Users

Christos Faloutsos, Leman Akoglu, Antonio Alfredo Ferreira Loureiro, 2010, ECML/PKDD.

1 9 M ar 2 01 4 0 Universal and Distinct Properties of Communication Dynami cs : How to Generate Realistic Inter-event Times

Pedro O. S. Vaz de Melo, C. Faloutsos, R. Assunção, 2018 .

Toward a Comprehensive Model in Internet Auction Fraud Detection

Christos Faloutsos, Yi Zhou, Bin Zhang, 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

GBASE: a scalable and general graph management system

Jimeng Sun, Christos Faloutsos, Hanghang Tong, 2011, KDD.

Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining

Christos Faloutsos, Alexandros Labrinidis, Flip Korn, 1998, VLDB.

Database techniques with motion capture

Christos Faloutsos, Jessica K. Hodgins, Nancy S. Pollard, 2007, SIGGRAPH Courses.

Christos Faloutsos, Masatoshi Yoshikawa, Yasushi Sakurai, 2005, PODS.

I/O complexity for range queries on region data stored using an R-tree

Christos Faloutsos, Guido Proietti, C. Faloutsos, 1999, Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337).

Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks

Andreas Krause, Christos Faloutsos, Jure Leskovec, 2008 .

The "DGX" distribution for mining massive, skewed data

Christos Faloutsos, Flip Korn, Zhiqiang Bi, 2001, KDD '01.

Efficient and effective Querying by Image Content

Christos Faloutsos, Dragutin Petkovic, William Equitz, 1994, Journal of Intelligent Information Systems.

Nonlinear Dynamics of Information Diffusion in Social Networks

Christos Faloutsos, Lei Li, Yasushi Sakurai, 2017, ACM Trans. Web.

Bayesian Tensor Approach for 3-D Face Modeling

Xuelong Li, Xindong Wu, Jimeng Sun, 2008, IEEE Transactions on Circuits and Systems for Video Technology.

SharkFin: Spatio-temporal mining of software adoption and penetration

Tudor Dumitras, Christos Faloutsos, Duen Horng Chau, 2014, Social Network Analysis and Mining.

Fast and effective similarity search in medical tumor databases using morphology

Christos Faloutsos, Nicholas D. Sidiropoulos, Eliot L. Siegel, 1996, Other Conferences.

Information filtering and retrieval: overview, issues and directions

Christos Faloutsos, Douglas W. Oard, N. DeClaris, 1994, Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Higher-Order Label Homogeneity and Spreading in Graphs

Christos Faloutsos, Srijan Kumar, Dhivya Eswaran, 2020, WWW.

VideoGraph: a new tool for video mining and classification

Christos Faloutsos, Jia-Yu Pan, C. Faloutsos, 2001, JCDL '01.

Stream Monitoring under the Time Warping Distance

Christos Faloutsos, Yasushi Sakurai, Masashi Yamamuro, 2007, 2007 IEEE 23rd International Conference on Data Engineering.

BRAID: stream mining through group lag correlations

Christos Faloutsos, Yasushi Sakurai, Spiros Papadimitriou, 2005, SIGMOD '05.

Online data mining for co-evolving time sequences

Christos Faloutsos, Theodore Johnson, H. V. Jagadish, 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073).

Laziness is a Virtue: Motion Stitching Using Effort Minimization

Christos Faloutsos, Lei Li, Nancy S. Pollard, 2008, Eurographics.

SNARE: a link analytic system for graph labeling and risk detection

Christos Faloutsos, Stephen D. Bay, David M. Steier, 2009, KDD.

M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings

Christos Faloutsos, Diana Marculescu, Zhiliang Qian, 2017, 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

M3A: Model, MetaModel, and Anomaly Detection in Web Searches pdf

Christos Faloutsos, Diana Marculescu, Zhiliang Qian, 2016, ArXiv.

Modeling tumor progression via the comparison of stage-specific graphs.

Christos Faloutsos, Igor Jurisica, Chiara Pastrello, 2018, Methods.

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision

Xin Luna Dong, Christos Faloutsos, Chenwei Zhang, 2020, KDD.

VideoTrails: representing and visualizing structure in video sequences

Christos Faloutsos, David S. Doermann, Vikrant Kobla, 1997, MULTIMEDIA '97.

Trends and Patterns of WWW Browsing Behavior

Christos Faloutsos, Alan L. Montgomery, C. Faloutsos, 2000 .

AutoGML: Fast Automatic Model Selection for Graph Machine Learning

Ryan A. Rossi, C. Faloutsos, Nesreen Ahmed, 2022, ArXiv.

MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning

Ryan A. Rossi, Nesreen K. Ahmed, C. Faloutsos, 2022, ICLR.

EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

C. Faloutsos, Yuxiao Dong, Fuchen Liu, 2022, WSDM.

MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals

Xin Luna Dong, Christos Faloutsos, Tong Zhao, 2020, KDD.

Graph mining: laws, generators and tools

Christos Faloutsos, C. Faloutsos, 2008, IMC '08.

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003

Christos Faloutsos, Pedro M. Domingos, Lise Getoor, 2003, KDD.

Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria

Xuelong Li, Xindong Wu, Jimeng Sun, 2007, ICONIP.

Collective Multi-type Entity Alignment Between Knowledge Graphs

Christos Faloutsos, Qi Zhu, Da Zheng, 2020, WWW.

Efficient retrieval of similar time sequences under time warping

Christos Faloutsos, H. V. Jagadish, Byoung-Kee Yi, 1998, Proceedings 14th International Conference on Data Engineering.

Fractals for secondary key retrieval

Christos Faloutsos, Shari Roseman, C. Faloutsos, 1989, PODS.

Active Disk Architecture for Databases

Christos Faloutsos, Erik Riedel, David F. Nagle, 2000 .

Active Disk Architecture for Databases (CMU-CS-00-145)

Christos Faloutsos, Erik Riedel, D. F. Nagle, 2000 .

Competing Memes Propagation on Networks: A Network Science Perspective

Michalis Faloutsos, Christos Faloutsos, Iulian Neamtiu, 2013, IEEE Journal on Selected Areas in Communications.

The TV-tree: An index structure for high-dimensional data

Christos Faloutsos, H. V. Jagadish, King-Ip Lin, 1994, The VLDB Journal.

FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop

Christos Faloutsos, Eric P. Xing, Partha Pratim Talukdar, 2014, SDM.

FRAUDAR: Bounding Graph Fraud in the Face of Camouflage

Hyun Ah Song, Christos Faloutsos, Bryan Hooi, 2016, KDD.

HCDF: A Hybrid Community Discovery Framework

Christos Faloutsos, Spiros Papadimitriou, Tina Eliassi-Rad, 2010, SDM.

DELTACON: A Principled Massive-Graph Similarity Function pdf

Danai Koutra, Christos Faloutsos, Joshua T. Vogelstein, 2013, SDM.

NimbleCore: A space-efficient external memory algorithm for estimating core numbers

Christos Faloutsos, Tina Eliassi-Rad, Sucheta Soundarajan, 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Gen2Out: Detecting and Ranking Generalized Anomalies

Christos Faloutsos, Shubhranshu Shekhar, Meng-Chieh Lee, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams

Christos Faloutsos, Euiwoong Lee, Mohammad Hammoud, 2018, PAKDD.

Individual and Collective Graph Mining: Principles, Algorithms, and Applications

Danai Koutra, Christos Faloutsos, C. Faloutsos, 2017, Individual and Collective Graph Mining.

Coarse-to-Fine Sparse Sequential Recommendation

G. Karypis, C. Faloutsos, Julian McAuley, 2022, SIGIR.

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

Jun Ma, Andrew McCallum, Xin Luna Dong, 2020, KDD.

CGC: Contrastive Graph Clustering forCommunity Detection and Tracking

Nesreen K. Ahmed, Ryan A. Rossi, C. Faloutsos, 2022, WWW.

Information Propagation and Network Evolution on the Web

C. Faloutsos, N. Glance, Mary McGlohon, 2007 .

Finding patterns in blog shapes and blog evolution

Christos Faloutsos, Jure Leskovec, Matthew Hurst, 2007, ICWSM.

TensorCast: Forecasting Time-Evolving Networks with Contextual Information

Christos Faloutsos, Miguel Araujo, Pedro Manuel Pinto Ribeiro, 2018, IJCAI.

Fast and reliable anomaly detection in categorical data

Christos Faloutsos, Hanghang Tong, Leman Akoglu, 2012, CIKM.

ThermoCast: a cyber-physical forecasting model for datacenters

Suman Nath, Christos Faloutsos, Andreas Terzis, 2011, KDD.

HEigen: Spectral Analysis for Billion-Scale Graphs

Christos Faloutsos, Evangelos E. Papalexakis, U Kang, 2014, IEEE Transactions on Knowledge and Data Engineering.

Patterns on the Connected Components of Terabyte-Scale Graphs

Christos Faloutsos, Leman Akoglu, U Kang, 2010, 2010 IEEE International Conference on Data Mining.

Think Before You Discard: Accurate Triangle Counting in Graph Streams with Deletions

Christos Faloutsos, Bryan Hooi, Kijung Shin, 2018, ECML/PKDD.

CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams

C. Faloutsos, Mohammad Hammoud, Jinoh Oh, 2018, ACM Trans. Knowl. Discov. Data.

Bayesian Browsing Model: Exact Inference of Document Relevance from Petabyte-Scale Data

Chao Liu, Christos Faloutsos, Fan Guo, 2010, TKDD.

BBM: bayesian browsing model from petabyte-scale data

Chao Liu, Christos Faloutsos, Fan Guo, 2009, KDD.

INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection

Christos Faloutsos, Reihaneh Rabbany, Namyong Park, 2021, 2021 IEEE 37th International Conference on Data Engineering (ICDE).

AutoAudit: Mining Accounting and Time-Evolving Graphs pdf

Leman Akoglu, Vincent S. Tseng, Christos Faloutsos, 2020, 2020 IEEE International Conference on Big Data (Big Data).

The Many Faces of Link Fraud

Christos Faloutsos, Hemank Lamba, Neil Shah, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Disk-based Matrix Completion for Memory Limited Devices

Christos Faloutsos, Dongha Lee, Hwanjo Yu, 2018, CIKM.

Inference of Beliefs on Billion-Scale Graphs

Christos Faloutsos, Duen Horng, C. Faloutsos, 2010 .

PIN-TRUST: Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information

Christos Faloutsos, Min-Hee Jang, Sang-Wook Kim, 2016, CIKM.

gbase: an efficient analysis platform for large graphs

Jimeng Sun, Christos Faloutsos, Hanghang Tong, 2012, The VLDB Journal.

On power-law relationships of the Internet topology

FaloutsosMichalis, FaloutsosPetros, FaloutsosChristos, 1999 .

PEGASUS: A Peta-Scale Graph Mining System

Charalampos E. Tsourakakis, U. Kang, C. Faloutsos, 2009, Industrial Conference on Data Mining.

Top-N recommendation through belief propagation

Christos Faloutsos, Sunju Park, Sang-Wook Kim, 2012, CIKM.

Large Scale Graph Mining and Inference for Malware Detection

Christos Faloutsos, Adam Wright, Duen Horng Chau, 2011, SDM.

Polonium: Tera-Scale Graph Mining and Inference for Malware Detection

Christos Faloutsos, Polo Chau, Carey Nachenberg, 2011 .

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Christos Faloutsos, Jon G. Rokne, C. Faloutsos, 2013, ASONAM 2013.

Adaptive vector space text filtering for monolingual and cross-language application

Douglas W. Oard, N. DeClaris, C. Faloutsos, 1996 .

Bulletin of the Technical Committee on Data Engineering Special Issue on Data Reduction Techniques Announcements and Notices Letter from the Editor-in-chief 1 Technical Committee Election Changing Editorial Staa Letter from the Special Issue Editor the New Jersey Data Reduction Report

David B. Lomet, K. A. Ross, C. Faloutsos, 2022 .

On Constructing Seminal Paper Genealogy

Christos Faloutsos, Sang-Wook Kim, Duck-Ho Bae, 2014, IEEE Transactions on Cybernetics.

An Intrinsic Graphical Signature Based on Alert Correlation Analysis for Intrusion Detection

Christos Faloutsos, Hsing-Kuo Kenneth Pao, Hahn-Ming Lee, 2010, 2010 International Conference on Technologies and Applications of Artificial Intelligence.

Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off pdf

Bryan Hooi, Christos Faloutsos, Minji Yoon, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Mining Connection Pathways for Marked Nodes in Large Graphs

Christos Faloutsos, Hanghang Tong, Leman Akoglu, 2013, SDM.

OMNI-Prop: Seamless Node Classification on Arbitrary Label Correlation

Christos Faloutsos, Hiroyuki Kitagawa, Yuto Yamaguchi, 2015, AAAI.

FairJudge: Trustworthy User Prediction in Rating Platforms pdf

Christos Faloutsos, V. S. Subrahmanian, Mohit Kumar, 2017, ArXiv.

Auditing Compliance with a Hippocratic Database

Christos Faloutsos, Ralf Rantzau, Roberto J. Bayardo, 2004, VLDB.

Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining

C. Faloutsos, Jaemin Yoo, Meng-Chieh Lee, 2022, 2210.04081.

Summarizing and understanding large graphs

Danai Koutra, Christos Faloutsos, Jilles Vreeken, 2015, Stat. Anal. Data Min..

Machine Beats Experts: Automatic Discovery of Skill Models for Data-Driven Online Courseware Refinement

Christos Faloutsos, Noboru Matsuda, Norman Bier, 2015, EDM.

BeatLex: Summarizing and Forecasting Time Series with Patterns

Christos Faloutsos, Bryan Hooi, Shenghua Liu, 2017, ECML/PKDD.

AutoPlait: automatic mining of co-evolving time sequences

Christos Faloutsos, Yasushi Sakurai, Yasuko Matsubara, 2014, SIGMOD Conference.

LinkNBed: Multi-Graph Representation Learning with Entity Linkage pdf

Christos Faloutsos, Hongyuan Zha, Bunyamin Sisman, 2018, ACL.

Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series pdf

Christos Faloutsos, Leman Akoglu, Bryan Hooi, 2021, J. Biomed. Informatics.

ValuePick: Towards a Value-Oriented Dual-Goal Recommender System

Christos Faloutsos, Leman Akoglu, C. Faloutsos, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution

Christos Faloutsos, Nikou Günnemann, Stephan Günnemann, 2014, KDD.

Parallel crawling for online social networks

Christos Faloutsos, Duen Horng Chau, Shashank Pandit, 2007, WWW '07.

Adaptive, Hands-Off Stream Mining

Christos Faloutsos, Spiros Papadimitriou, Anthony Brockwell, 2003, VLDB.

NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks

Ambuj K. Singh, Christos Faloutsos, Petko Bogdanov, 2013, SDM.

diagnosing performance changes by comparing request Flows

C. Faloutsos, A. Ailamaki, C. Cranor, 2022 .

Graph-Based User Behavior Modeling: From Prediction to Fraud Detection

Christos Faloutsos, Leman Akoglu, Alex Beutel, 2015, KDD.

TANGENT: a novel, 'Surprise me', recommendation algorithm

Christos Faloutsos, Hanghang Tong, Kensuke Onuma, 2009, KDD.

Structural patterns of information cascades and their implications for dynamics and semantics pdf

Christos Faloutsos, Wenwu Zhu, Peng Cui, 2017, ArXiv.

WebHound: a data-driven intrusion detection from real-world web access logs

Christos Faloutsos, Albert B. Jeng, Hahn-Ming Lee, 2019, Soft Comput..

TurboLift: fast accuracy lifting for historical data recovery

Faisal M. Almutairi, C. Faloutsos, V. Zadorozhny, 2020, The VLDB Journal.

Ares: Automatic Disaggregation of Historical Data

Nikos D. Sidiropoulos, Zongge Liu, Hyun Ah Song, 2018, 2018 IEEE 34th International Conference on Data Engineering (ICDE).

Efficient processing of complex similarity queries in RDBMS through query rewriting

Christos Faloutsos, Marcos R. Vieira, Agma J. M. Traina, 2006, CIKM '06.

Gray Codes for Partial Match and Range Queries

Christos Faloutsos, C. Faloutsos, 1988, IEEE Trans. Software Eng..

Expert Database Systems: Efficient Support for Engineering Environments

Christos Faloutsos, Timos K. Sellis, Nick Roussopoulos, 1988, Data Knowl. Eng..

USNAP: fast unique dense region detection and its application to lung cancer

Serene W. H. Wong, C. Faloutsos, M. Kotlyar, 2023, Bioinform..

SDREGION: Fast Spotting of Changing Communities in Biological Networks

Christos Faloutsos, Igor Jurisica, Chiara Pastrello, 2018, KDD.

M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees

Christos Faloutsos, Bryan Hooi, Kijung Shin, 2016, ECML/PKDD.

TimeCrunch: Interpretable Dynamic Graph Summarization

Danai Koutra, Christos Faloutsos, Brian Gallagher, 2015, KDD.

TRIAGE: Temporal Twitter attribute graph patterns

Christos Faloutsos, Athena Vakali, Ilias Dimitriadis, 2020, WIMS.

Social-Affiliation Networks: Patterns and the SOAR Model

Christos Faloutsos, Reihaneh Rabbany, Dhivya Eswaran, 2018, ECML/PKDD.

Axiomatic Analysis of Co-occurrence Similarity Functions

Christos Faloutsos, Mikhail Bilenko, Dengyong Zhou, 2012 .

On Summarizing Large-Scale Dynamic Graphs

Danai Koutra, Christos Faloutsos, Brian Gallagher, 2017, IEEE Data Eng. Bull..

RolX: Role Extraction and Mining in Large Networks

C. Faloutsos, Sugato Basu, Keith W. Henderson, 2011 .

Ensemble Methods

C. Faloutsos, Zhi-Hua Zhou, J. Stasko, 2019, Machine Learning with Spark™ and Python®.

Mining Tera-Scale Graphs with "Pegasus": Algorithms and Discoveries

Christos Faloutsos, U Kang, U. Kang, 2014, Large-Scale Data Analytics.

Mining Tera-Scale Graphs: Theory, Engineering and Discoveries

Christos Faloutsos, Garth A. Gibson, U Kang, 2012 .

Recommending People in Developers' Collaboration Network

Christos Faloutsos, Hanghang Tong, David Lo, 2011, 2011 18th Working Conference on Reverse Engineering.

Compact Similarity Joins

Christos Faloutsos, Frederick Eberhardt, Brent Bryan, 2008, 2008 IEEE 24th International Conference on Data Engineering.

StreamCast: Fast and Online Mining of Power Grid Time Sequences

Hyun Ah Song, Christos Faloutsos, Lawrence T. Pileggi, 2018, SDM.

Scalable Transaction Processing through Data-oriented Execution

Lausanne, C. Faloutsos, G. Ganger, 2022 .

Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics

Christos Faloutsos, Jilles Vreeken, Duen Horng Chau, 2013, IDEA@KDD.

Proximity Tracking on Time-Evolving Bipartite Graphs

Philip S. Yu, Christos Faloutsos, Hanghang Tong, 2008, SDM.

The New Jersey Data Reduction Report

K. A. Ross, C. Faloutsos, P. Haas, 2022 .

Community Evolution and Change Point Detection in Time-Evolving Graphs

Philip S. Yu, Jimeng Sun, Christos Faloutsos, 2010, Link Mining.

Fraud Detection through Graph-Based User Behavior Modeling

Christos Faloutsos, Leman Akoglu, Alex Beutel, 2015, CCS.

Analysis of the reputation system and user contributions on a question answering website: StackOverflow

Yair Movshovitz-Attias, Christos Faloutsos, Peter Steenkiste, 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).

Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications

Christos Faloutsos, Peng Cui, Chengxi Zang, 2016, KDD.

S-HOT: Scalable High-Order Tucker Decomposition

Christos Faloutsos, Evangelos E. Papalexakis, Hwanjo Yu, 2017, WSDM.

Flexible buffer allocation based on marginal gains

Christos Faloutsos, Timos K. Sellis, Raymond T. Ng, 1991, SIGMOD '91.

TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning

C. Faloutsos, Danai Koutra, Xiang Song, 2023, SIGIR.

Developing high-level representations of video clips using VideoTrails

Christos Faloutsos, David S. Doermann, Vikrant Kobla, 1997, Electronic Imaging.

PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction

C. Faloutsos, Yizhou Sun, Da Zheng, 2023, WWW.

Making every bit count: fast nonlinear axis scaling

Christos Faloutsos, Leejay Wu, C. Faloutsos, 2002, KDD.

Mining large graphs: Algorithms, inference, and discoveries

Christos Faloutsos, Duen Horng Chau, U Kang, 2011, 2011 IEEE 27th International Conference on Data Engineering.

On power-law relationships of the Internet topology

P. Faloutsos, C. Faloutsos, M. Faloutsos, 1999, SIGCOMM '99.

TG-OUT: temporal outlier patterns detection in Twitter attribute induced graphs

C. Faloutsos, A. Vakali, Ilias Dimitriadis, 2022, World Wide Web.

Perseus: An Interactive Large-Scale Graph Mining and Visualization Tool

Danai Koutra, Christos Faloutsos, Di Jin, 2015, Proc. VLDB Endow..

SocNL: Bayesian Label Propagation with Confidence

Christos Faloutsos, Hiroyuki Kitagawa, Yuto Yamaguchi, 2015, PAKDD.

Patterns in Interactive Tagging Networks

Christos Faloutsos, Hiroyuki Kitagawa, Yuto Yamaguchi, 2015, ICWSM.

Influence Propagation: Patterns, Model and a Case Study

Danai Koutra, Christos Faloutsos, Agha Ali Raza, 2014, PAKDD.

Managing and mining large graphs: patterns and algorithms

Christos Faloutsos, U Kang, U. Kang, 2012, SIGMOD Conference.

Mobile Phone Graph Evolution: Findings, Model and Interpretation

Christos Faloutsos, Siyuan Liu, Lei Li, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Analysis of Large Multi-modal Social Networks: Patterns and a Generator

Hao Wang, Christos Faloutsos, Nan Du, 2010, ECML/PKDD.

Metric forensics: a multi-level approach for mining volatile graphs

Christos Faloutsos, Hanghang Tong, Tina Eliassi-Rad, 2010, KDD.

Spectral Counting of Triangles in Power-Law Networks via Element-Wise Sparsification

Christos Faloutsos, Charalampos E. Tsourakakis, Petros Drineas, 2009, 2009 International Conference on Advances in Social Network Analysis and Mining.

Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs

Philip S. Yu, Christos Faloutsos, Hanghang Tong, 2008 .

Fast mining of complex time-stamped events

Christos Faloutsos, Hanghang Tong, Yasushi Sakurai, 2008, CIKM '08.

Fast direction-aware proximity for graph mining

Christos Faloutsos, Hanghang Tong, Yehuda Koren, 2007, KDD '07.

Data-driven evolution of data mining algorithms

Christos Faloutsos, Padhraic Smyth, Daryl Pregibon, 2002, CACM.

Proximity Tracking on Dynamic Bipartite Graphs: Problem Definitions and Fast Solutions

Philip S. Yu, Christos Faloutsos, Hanghang Tong, 2010, Link Mining.

Direction-Aware Proximity on Graphs

Christos Faloutsos, Hanghang Tong, Yehuda Koren, 2009, Encyclopedia of Data Warehousing and Mining.

Under Consideration for Publication in Knowledge and Information Systems Estimating Robustness in Large Social Graphs

Fragkiskos D. Malliaros, C. Faloutsos, V. Megalooikonomou, 2022 .

RIC: Parameter-free noise-robust clustering

Christian Böhm, Christos Faloutsos, Claudia Plant, 2007, TKDD.

A multiresolution symbolic representation of time series

Qiang Wang, Christos Faloutsos, Vasileios Megalooikonomou, 2005, 21st International Conference on Data Engineering (ICDE'05).

ND-Sync: Detecting Synchronized Fraud Activities

Christos Faloutsos, Athena Vakali, Neil Shah, 2015, PAKDD.

Spotting Fake Retweeting Activity in Twitter

C. Faloutsos, A. Vakali, Alex Beutel, 2014 .

DeltaShield: Information Theory for Human- Trafficking Detection

Andreas M. Olligschlaeger, C. Faloutsos, Reihaneh Rabbany, 2023, ACM Trans. Knowl. Discov. Data.

Detecting suspicious following behavior in multimillion-node social networks

Christos Faloutsos, Peng Cui, Shiqiang Yang, 2014, WWW.

BGP-lens: patterns and anomalies in internet routing updates

Michalis Faloutsos, Christos Faloutsos, B. Aditya Prakash, 2009, KDD.

Branch and Border: Partition-Based Change Detection in Multivariate Time Series

Christos Faloutsos, Bryan Hooi, C. Faloutsos, 2019, SDM.

Signature files: design and performance comparison of some signature extraction methods

Christos Faloutsos, C. Faloutsos, 1985, SIGMOD Conference.

Access methods for text

Christos Faloutsos, C. Faloutsos, 1985, CSUR.

Dimensionality Reduction and Filtering on Time Series Sensor Streams

Philip S. Yu, C. Faloutsos, Jimeng Sun, 2013, Managing and Mining Sensor Data.

Parsimonious linear fingerprinting for time series

Christos Faloutsos, Lei Li, B. Aditya Prakash, 2010, Proc. VLDB Endow..

Bayesian tensor analysis

Xuelong Li, Xindong Wu, Jimeng Sun, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Interestingness-Driven Diffusion Process Summarization in Dynamic Networks

Christos Faloutsos, Christian S. Jensen, Siyuan Liu, 2014, ECML/PKDD.

D-Cube: Dense-Block Detection in Terabyte-Scale Tensors

Christos Faloutsos, Bryan Hooi, Jisu Kim, 2017, WSDM.

TensorCast: forecasting and mining with coupled tensors

Hyun Ah Song, Christos Faloutsos, Miguel Araujo, 2018, Knowledge and Information Systems.

LookOut on Time-Evolving Graphs: Succinctly Explaining Anomalies from Any Detector pdf

Christos Faloutsos, Leman Akoglu, Neil Shah, 2017, ArXiv.

Non-Linear Mining of Competing Local Activities

Christos Faloutsos, Yasushi Sakurai, Yasuko Matsubara, 2016, WWW.

MultiAspectForensics: mining large heterogeneous networks using tensor

C. Faloutsos, Fan Guo, K. Maruhashi, 2012, Int. J. Web Eng. Technol..

Ensemble Methods

C. Faloutsos, J. Stasko, Jeffrey Heer, 2020 .

BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals

Nikos D. Sidiropoulos, Hyun Ah Song, Christos Faloutsos, 2017, SDM.

Self-spacial join selectivity estimation using fractal concepts

Christos Faloutsos, Alberto Belussi, C. Faloutsos, 1998, TOIS.

Relaxing the Uniformity and Independence Assumptions Using the Concept of Fractal Dimension

Christos Faloutsos, Ibrahim Kamel, C. Faloutsos, 1997, J. Comput. Syst. Sci..

Parallel R-trees

Christos Faloutsos, Ibrahim Kamel, C. Faloutsos, 1992, SIGMOD '92.

Automatic Table Union Search with Tabular Representation Learning

G. Karypis, C. Faloutsos, Xuming Hu, 2023, ACL.

SPEX2: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images

Christos Faloutsos, Eric P. Xing, Kriti Puniyani, 2010, Bioinform..

Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments

Tom Michael Mitchell, C. Faloutsos, E. Papalexakis, 2014, KDD.

Mining Large Multi-Aspect Data : Algorithms & Applications

C. Faloutsos, E. Papalexakis, 2015 .

Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems pdf

Rose Yu, Christos Faloutsos, Rui Wang, 2020, L4DC.

Data Mining at CALD-CMU: Tools, Experiences and Research Directions

Christos Faloutsos, Sebastian Thrun, Tom M. Mitchell, 1997 .

Mixed Membership Subspace Clustering

Christos Faloutsos, Stephan Günnemann, C. Faloutsos, 2013, 2013 IEEE 13th International Conference on Data Mining.

Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams

C. Faloutsos, Jisu Kim, Bryan Hooi, 2020, ACM Trans. Knowl. Discov. Data.

DiSLR: Distributed Sampling with Limited Redundancy For Triangle Counting in Graph Streams pdf

Christos Faloutsos, Euiwoong Lee, Mohammad Hammoud, 2018, ArXiv.

AWSOM: Adaptive, Hands-Off Stream Mining

Christos Faloutsos, Spiros Papadimitriou, Anthony Brockwell, 2003 .

Adaptive, Hands-Off Stream Mining (CMU-CS-02-205)

Christos Faloutsos, Spiros Papadimitriou, Anthony Brockwell, 2003 .

DynaMMo: mining and summarization of coevolving sequences with missing values

Christos Faloutsos, Lei Li, Nancy S. Pollard, 2009, KDD.

A State-of-Art in R-Tree Variants for Spatial Indexing

M. Sugumaran, Lakshmi Balasubramanian, C. Faloutsos, 2012 .

Spatial join selectivity using power laws

Christos Faloutsos, Bernhard Seeger, Agma J. M. Traina, 2000, SIGMOD '00.

iPoG: fast interactive proximity querying on graphs

Christos Faloutsos, Hanghang Tong, Hani Jamjoom, 2009, CIKM.

An analysis on information diffusion through BlogCast in a blogosphere

Christos Faloutsos, Sunju Park, Sang-Wook Kim, 2015, Inf. Sci..

ExplainFix: Explainable spatially fixed deep networks

C. Faloutsos, A. Smailagic, P. Costa, 2023, WIREs Data. Mining. Knowl. Discov..

Dynamics of large networks

Christos Faloutsos, Jurij Leskovec, J. Leskovec, 2008 .

A signature technique for similarity-based queries

Christos Faloutsos, Alberto O. Mendelzon, Tova Milo, 1997, Proceedings. Compression and Complexity of SEQUENCES 1997 (Cat. No.97TB100171).

An environmental sensor network to determine drinking water quality and security

Christos Faloutsos, Anastasia Ailamaki, Paul S. Fischbeck, 2003, SGMD.

V-SMART-Join: A Scalable MapReduce Framework for All-Pair Similarity Joins of Multisets and Vectors pdf

Christos Faloutsos, Ahmed Metwally, Ahmed A. Metwally, 2012, Proc. VLDB Endow..

Impact of Load Models on Power Flow Optimization

Hyun Ah Song, Christos Faloutsos, Lawrence T. Pileggi, 2019, 2019 IEEE Power & Energy Society General Meeting (PESGM).

PowerCast: Mining and Forecasting Power Grid Sequences

Hyun Ah Song, Christos Faloutsos, Lawrence T. Pileggi, 2017, ECML/PKDD.

ANF: a fast and scalable tool for data mining in massive graphs

Phillip B. Gibbons, C. Faloutsos, C. R. Palmer, 2002, KDD.

TellTail: Fast Scoring and Detection of Dense Subgraphs

Christos Faloutsos, Bryan Hooi, Hemank Lamba, 2020, AAAI.

Design and Implementation of QBISM, a 3D Medical Image Database System

Christos Faloutsos, Manish Arya, Joel E. Richardson, 1996, Multimedia Database System: Issues and Research Direction.

QBISM: A Prototype 3-D Medical Image Database System.

J. Richardson, C. Faloutsos, W. Cody, 1993 .

SportsNetRank: Network- based Sports Team Ranking

Christos Faloutsos, Konstantinos Pelechrinis, Evangelos E. Papalexakis, 2016 .

NetEffect: Discovery and Exploitation of Generalized Network Effects

C. Faloutsos, Jaemin Yoo, Meng-Chieh Lee, 2022, 2301.00270.

MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams pdf

Christos Faloutsos, Bryan Hooi, Siddharth Bhatia, 2019, AAAI.

Fast Searching by Content in Multimedia Databases.

C. Faloutsos, 1995 .

HoloScope: Topology-and-Spike Aware Fraud Detection

Christos Faloutsos, Bryan Hooi, Shenghua Liu, 2017, CIKM.

InteMon: intelligent system monitoring on large clusters

Jimeng Sun, Christos Faloutsos, Evan Hoke, 2006, VLDB.

HeartCast: Predicting acute hypotensive episodes in intensive care units

Christos Faloutsos, Seong-Whan Lee, Lei Li, 2016 .

Outlier-robust clustering using independent components

Christian Böhm, Christos Faloutsos, Claudia Plant, 2008, SIGMOD Conference.

TribeFlow: Mining & Predicting User Trajectories

Bruno Ribeiro, Christos Faloutsos, Flavio Figueiredo, 2015, WWW.

CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors

Christos Faloutsos, Jiawei Han, Meng Jiang, 2016, KDD.

The Web as a Jungle: Non-Linear Dynamical Systems for Co-evolving Online Activities

C. Faloutsos, Yasuko Matsubara, Yasushi Sakurai, 2015, WWW.

Automatic image captioning

Christos Faloutsos, Pinar Duygulu Sahin, Hyung-Jeong Yang, 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs

Duen Horng Chau, C. Faloutsos, A. J. Traina, 2023, AAAI.

EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection

C. Faloutsos, Xueqi Cheng, Huawei Shen, 2021, Future Gener. Comput. Syst..

Robust information-theoretic clustering

Christian Böhm, Christos Faloutsos, Claudia Plant, 2006, KDD '06.

Graph Mining: Laws, Tools, and Case Studies

C. Faloutsos, Deepayan Chakrabarti, 2012, Synthesis Lectures on Data Mining and Knowledge Discovery.

OEC: Open-Ended Classification for Future-Proof Link-Fraud Detection pdf

Christos Faloutsos, Hemank Lamba, Neil Shah, 2017, ArXiv.

Research Showcase @ CMU

C. Faloutsos, Deepayan Chakrabarti, Yiping Zhan, 2022 .