Arthur Zimek

发表

Angle-based outlier detection in high-dimensional data

Hans-Peter Kriegel, Arthur Zimek, Matthias Schubert, 2008, KDD.

Mining Hierarchies of Correlation Clusters

Elke Achtert, Christian Böhm, Peer Kröger, 2006, 18th International Conference on Scientific and Statistical Database Management (SSDBM'06).

Evaluation of Clusterings -- Metrics and Visual Support

Elke Achtert, Hans-Peter Kriegel, Arthur Zimek, 2012, 2012 IEEE 28th International Conference on Data Engineering.

Spatial k-Anonymity

Tim Furche, Steffen Staab, Yanchun Zhang, 2009, Encyclopedia of Database Systems.

Data perturbation for outlier detection ensembles

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander, 2014, SSDBM '14.

Geodetic Distance Queries on R-Trees for Indexing Geographic Data

Hans-Peter Kriegel, Arthur Zimek, Erich Schubert, 2013, SSTD.

Outlier Detection in Arbitrarily Oriented Subspaces

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2012, 2012 IEEE 12th International Conference on Data Mining.

Can Shared-Neighbor Distances Defeat the Curse of Dimensionality?

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2010, SSDBM.

Density-Based Data Analysis and Similarity Search

Hans-Peter Kriegel, Arthur Zimek, Martin Pfeifle, 2007 .

Future trends in data mining

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2007, Data Mining and Knowledge Discovery.

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

Arthur Zimek, Ira Assent, Ricardo J. G. B. Campello, 2016, Data Mining and Knowledge Discovery.

Statistical Disclosure Limitation (SDL)

Tim Furche, Steffen Staab, Yanchun Zhang, 2009, Encyclopedia of Database Systems.

1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019)

Arthur Zimek, Albrecht Zimmermann, Erich Schubert, 2019, EDML@SDM.

MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering: [Workshop Report]

Arthur Zimek, Ira Assent, Andrea Tagarelli, 2016, SIGKDD Explor..

Ensembles for unsupervised outlier detection: challenges and research questions a position paper

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander, 2014, SKDD.

Evaluation of Multiple Clustering Solutions

Hans-Peter Kriegel, Arthur Zimek, Erich Schubert, 2011, MultiClust@ECML/PKDD.

Outlier Detection in Urban Traffic Data

Arthur Zimek, Youcef Djenouri, A. Zimek, 2018, WIMS.

A Study of Hierarchical and Flat Classification of Proteins

Arthur Zimek, Stefan Kramer, Eibe Frank, 2010, IEEE/ACM Transactions on Computational Biology & Bioinformatics.

Outlier Detection in Graphs: On the Impact of Multiple Graph Models

Arthur Zimek, Wagner Meira, Guilherme Oliveira Campos, 2018, WIMS.

Subspace and projected clustering: experimental evaluation and analysis

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2009, Knowledge and Information Systems.

On the internal evaluation of unsupervised outlier detection

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander, 2015, SSDBM.

Density Based Subspace Clustering over Dynamic Data

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2011, SSDBM.

When Pattern Met Subspace Cluster

Arthur Zimek, Jilles Vreeken, A. Zimek, 2011, MultiClust@ECML/PKDD.

Finding Hierarchies of Subspace Clusters

Elke Achtert, Christian Böhm, Hans-Peter Kriegel, 2006, PKDD.

Density-Based Clustering Validation

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander, 2014, SDM.

3rd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, MultiClust '12, in conjunction with SDM 2012, Anaheim, CA, USA, April 28, 2012, Anaheim, CA, USA, April 28, 2012

Arthur Zimek, Emmanuel Müller, Thomas Seidl, 2012, MultiClust@SDM.

On the Evaluation of Outlier Detection and One-Class Classification Methods

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander, 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Outlier Detection in Urban Traffic Flow Distributions

Arthur Zimek, Marco Chiarandini, Youcef Djenouri, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Are Network Attacks Outliers? A Study of Space Representations and Unsupervised Algorithms

Arthur Zimek, Tanja Zseby, Félix Iglesias, 2019, PKDD/ECML Workshops.

Improving Semantic Similarity of Words by Retrofitting Word Vectors in Sense Level

Arthur Zimek, Rui Zhang, Peter Schneider-Kamp, 2020, ICAART.

Density‐based clustering

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2011, WIREs Data Mining Knowl. Discov..

A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander, 2013, Data Mining and Knowledge Discovery.

Frequent Pattern Mining Algorithms for Data Clustering

Arthur Zimek, Ira Assent, Jilles Vreeken, 2014, Frequent Pattern Mining.

Spatial Outlier Detection: Data, Algorithms, Visualizations

Elke Achtert, Hans-Peter Kriegel, Arthur Zimek, 2011, SSTD.

A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2008, SSDBM.

Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander, 2015, ACM Trans. Knowl. Discov. Data.

When pattern met subspace cluster a relationship story

Arthur Zimek, Jilles Vreeken, A. Zimek, 2011 .

Redundancies in Data and their Effect on the Evaluation of Recommendation Systems: A Case Study on the Amazon Reviews Datasets

Arthur Zimek, Eirini Ntoutsi, Daniel Basaran, 2017, SDM.

The (black) art of runtime evaluation: Are we comparing algorithms or implementations?

Hans-Peter Kriegel, Arthur Zimek, Erich Schubert, 2017, Knowledge and Information Systems.

ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg" pdf

Arthur Zimek, Erich Schubert, A. Zimek, 2019, ArXiv.

Supervised Ensembles of Prediction Methods for Subcellular Localization

Hans-Peter Kriegel, Arthur Zimek, Jing Gong, 2009, APBC.

Generalized Outlier Detection with Flexible Kernel Density Estimates

Hans-Peter Kriegel, Arthur Zimek, Erich Schubert, 2014, SDM.

There and back again: Outlier detection between statistical reasoning and data mining algorithms

Arthur Zimek, Peter Filzmoser, A. Zimek, 2018, WIREs Data Mining Knowl. Discov..

A unified view of density-based methods for semi-supervised clustering and classification

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander, 2019, Data Mining and Knowledge Discovery.

Semantic Image Retrieval

Tim Furche, Steffen Staab, Yanchun Zhang, 2009, Encyclopedia of Database Systems.

Density‐based clustering

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander, 2020, Wiley Interdiscip. Rev. Data Min. Knowl. Discov..

Correlation clustering

Arthur Zimek, A. Zimek, Arthur Zimek, 2009, SKDD.

MDCGen: Multidimensional Dataset Generator for Clustering

Arthur Zimek, Tanja Zseby, Félix Iglesias, 2019, J. Classif..

Outlier Detection Based on Low Density Models

Arthur Zimek, Tanja Zseby, Félix Iglesias, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Spatial Information System

Tim Furche, Steffen Staab, Yanchun Zhang, 2009, Encyclopedia of Database Systems.

Absolute Cluster Validity

Arthur Zimek, Tanja Zseby, Felix Iglesias, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives

Arthur Zimek, Jilles Vreeken, A. Zimek, 2013, Machine Learning.

Visual Evaluation of Outlier Detection Models

Elke Achtert, Hans-Peter Kriegel, Arthur Zimek, 2010, DASFAA.

Active Learning Strategies for Semi-Supervised DBSCAN

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander, 2014, Canadian Conference on AI.

Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles

Hans-Peter Kriegel, Arthur Zimek, Erich Schubert, 2015, DASFAA.

Dimensionality and Scalability (NII Shonan Meeting 2013-4)

Arthur Zimek, Michael E. Houle, Vincent Oria, 2013, NII Shonan Meet. Rep..

Statistical Database

Tim Furche, Steffen Staab, Yanchun Zhang, 2009, Encyclopedia of Database Systems.

ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series

Elke Achtert, Hans-Peter Kriegel, Arthur Zimek, 2009, SSTD.

Detecting clusters in moderate-to-high dimensional data: subspace clustering, pattern-based clustering, and correlation clustering

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2008, Proc. VLDB Endow..

Arthur Zimek, Björn Þór Jónsson, Ilaria Bartolini, 2020, Lecture Notes in Computer Science.

Density-based Projected Clustering over High Dimensional Data Streams

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2012, SDM.

Computing Clusters of Correlation Connected objects

Christian Böhm, Peer Kröger, Arthur Zimek, 2004, SIGMOD '04.

Subspace Clustering Techniques

Peer Kröger, Arthur Zimek, 2018, Encyclopedia of Database Systems.

Representative clustering of uncertain data

Arthur Zimek, Andreas Züfle, Nikos Mamoulis, 2014, KDD.

ELKI: A Software System for Evaluation of Subspace Clustering Algorithms

Elke Achtert, Hans-Peter Kriegel, Arthur Zimek, 2008, SSDBM.

Outlier detection in graphs: A study on the impact of multiple graph models

Arthur Zimek, Wagner Meira, Guilherme Oliveira Campos, 2019, Comput. Sci. Inf. Syst..

Dimensionality and Scalability II: Hands-On Intrinsic Dimensionality (NII Shonan Meeting 2015-9)

Arthur Zimek, Laurent Amsaleg, Michael E. Houle, 2015, NII Shonan Meet. Rep..

Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2009, PAKDD.

An Unsupervised Boosting Strategy for Outlier Detection Ensembles

Arthur Zimek, Wagner Meira, Guilherme Oliveira Campos, 2018, PAKDD.

Robust, Complete, and Efficient Correlation Clustering

Elke Achtert, Christian Böhm, Hans-Peter Kriegel, 2007, SDM.

On the Correlation Between Local Intrinsic Dimensionality and Outlierness

Arthur Zimek, Michael E. Houle, Erich Schubert, 2018, SISAP.

On Exploring Complex Relationships of Correlation Clusters

Elke Achtert, Christian Böhm, Hans-Peter Kriegel, 2007, 19th International Conference on Scientific and Statistical Database Management (SSDBM 2007).

Interactive data mining with 3D-parallel-coordinate-trees

Elke Achtert, Hans-Peter Kriegel, Arthur Zimek, 2013, SIGMOD '13.

Interpreting and Unifying Outlier Scores

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2011, SDM.

Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation pdf

Arthur Zimek, Pan Li, Michael E. Houle, 2019, SISAP.

A Framework for Clustering Uncertain Data

Arthur Zimek, Andreas Züfle, Tobias Emrich, 2015, Proc. VLDB Endow..

Robust Clustering in Arbitrarily Oriented Subspaces

Elke Achtert, Christian Böhm, Peer Kröger, 2008, SDM.

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2010, 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010).

A survey on enhanced subspace clustering

Arthur Zimek, Gao Cong, Kelvin Sim, 2013, Data Mining and Knowledge Discovery.

Outlier Detection

Arthur Zimek, Erich Schubert, 2018, Encyclopedia of Database Systems.

Scale-Out Databases

Tim Furche, Steffen Staab, Yanchun Zhang, 2009, Encyclopedia of Database Systems.

Hans-Peter Kriegel, Arthur Zimek, Kyoji Kawagoe, 2010, 2010 Workshops on Database and Expert Systems Applications.

Internal Evaluation of Unsupervised Outlier Detection

Arthur Zimek, Ricardo J. G. B. Campello, Henrique O. Marques, 2020, ACM Trans. Knowl. Discov. Data.

There and Back Again Outlier Detection between Statistical Reasoning and Efficient Database Methods

Arthur Zimek, A. Zimek, 2012 .

Correction to: A unified view of density-based methods for semi-supervised clustering and classification

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander, 2020, Data Mining and Knowledge Discovery.

On strategies for building effective ensembles of relative clustering validity criteria

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander, 2015, Knowledge and Information Systems.

Detection and Visualization of Subspace Cluster Hierarchies

Elke Achtert, Hans-Peter Kriegel, Arthur Zimek, 2007, DASFAA.

Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection

Hans-Peter Kriegel, Arthur Zimek, Erich Schubert, 2012, Data Mining and Knowledge Discovery.

Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019)

Arthur Zimek, Albrecht Zimmermann, Erich Schubert, 2019 .

Subspace Clustering Techniques

Peer Kröger, Arthur Zimek, A. Zimek, 2009, Encyclopedia of Database Systems.

Structured Text Retrieval

Tim Furche, Steffen Staab, Yanchun Zhang, 2009, Encyclopedia of Database Systems.

A survey on unsupervised outlier detection in high‐dimensional numerical data

Hans-Peter Kriegel, Arthur Zimek, Erich Schubert, 2012, Stat. Anal. Data Min..

Good and Bad Neighborhood Approximations for Outlier Detection Ensembles

Arthur Zimek, Erich Schubert, Evelyn Kirner, 2017, SISAP.

Discriminative features for identifying and interpreting outliers

Arthur Zimek, Ira Assent, Raymond T. Ng, 2014, 2014 IEEE 30th International Conference on Data Engineering.

Global Correlation Clustering Based on the Hough Transform

Elke Achtert, Christian Böhm, Peer Kröger, 2008, Stat. Anal. Data Min..

Subspace Determination Through Local Intrinsic Dimensional Decomposition

Arthur Zimek, Michael E. Houle, Pan Li, 2019, SISAP.

Semi-Structured Data

Tim Furche, Steffen Staab, Yanchun Zhang, 2009, Encyclopedia of Database Systems.

Subsampling for efficient and effective unsupervised outlier detection ensembles

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander, 2013, KDD.

Scene Change Detection

Tim Furche, Steffen Staab, Yanchun Zhang, 2009, Encyclopedia of Database Systems.

Dimensional Testing for Reverse k-Nearest Neighbor Search

Peer Kröger, Arthur Zimek, Michael E. Houle, 2017, Proc. VLDB Endow..

Model Selection for Semi-Supervised Clustering

Arthur Zimek, Randy Goebel, Ricardo J. G. B. Campello, 2014, EDBT.

Investigating a Correlation between Subcellular Localization and Fold of Proteins

Hans-Peter Kriegel, Arthur Zimek, Jing Gong, 2010, J. Univers. Comput. Sci..

A unified framework of density-based clustering for semi-supervised classification

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander, 2018, SSDBM.

Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering

Arthur Zimek, Ira Assent, Andrea Tagarelli, 2013, MultiClust@KDD.

COSMIC: Conceptually Specified Multi-Instance Clusters

Hans-Peter Kriegel, Arthur Zimek, Matthias Schubert, 2006, Sixth International Conference on Data Mining (ICDM'06).

Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2009, TKDD.

LoOP: local outlier probabilities

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2009, CIKM.

Outlier Detection and Trend Detection: Two Sides of the Same Coin

Arthur Zimek, Erich Schubert, Michael Weiler, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

A Study of Hierarchical and Flat Classification of Proteins

Arthur Zimek, Stefan Kramer, Eibe Frank, 2010, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2011, SSTD.

Subspace clustering

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2012, WIREs Data Mining Knowl. Discov..

Clustering High-Dimensional Data

Arthur Zimek, A. Zimek, 2018, Data Clustering: Algorithms and Applications.

On Evaluation of Outlier Rankings and Outlier Scores

Hans-Peter Kriegel, Arthur Zimek, Erich Schubert, 2012, SDM.

Detecting Wandering Behavior of People with Dementia

Arthur Zimek, Marco Chiarandini, Panagiotis Tampakis, 2021, 2021 International Conference on Data Mining Workshops (ICDMW).

Outlier Detection with Explanations on Music Streaming Data: A Case Study with Danmark Music Group Ltd.

Arthur Zimek, Peter Schneider-Kamp, Nicolai Dvinge, 2021, Applied Sciences.

Clustering refinement

Arthur Zimek, Tanja Zseby, Félix Iglesias, 2021, International Journal of Data Science and Analytics.

Non-parametric Semi-supervised Learning by Bayesian Label Distribution Propagation

Arthur Zimek, Ricardo J. G. B. Campello, Jonatan Møller Nuutinen Gøttcke, 2021, SISAP.

Handling Class Imbalance in k-Nearest Neighbor Classification by Balancing Prior Probabilities

Arthur Zimek, Jonatan Møller Nuutinen Gøttcke, 2021, SISAP.

XPROAX-Local explanations for text classification with progressive neighborhood approximation

Arthur Zimek, Yi Cai, Eirini Ntoutsi, 2021, 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA).

Subspace Clustering Techniques

Arthur Zimek, A. Zimek, Peer Kröger, 2009, Encyclopedia of Database Systems.

On the Evaluation of Outlier Detection: Measures, Datasets, and an Empirical Study Continued

Arthur Zimek, Ira Assent, Ricardo J. G. B. Campello, 2016 .