Hillol Kargupta

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Collective Principal Component Analysis from Distributed, Heterogeneous Data

Hillol Kargupta, Weiyun Huang, Krishnamoorthy Sivakumar, 2000, PKDD.

Client-side web mining for community formation in peer-to-peer environments

Kun Liu, Phuong Nguyen, Hillol Kargupta, 2006, SKDD.

Privacy-sensitive Bayesian network parameter learning

Hillol Kargupta, Krishnamoorthy Sivakumar, Da Meng, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

A Survey of Attack Techniques on Privacy-Preserving Data Perturbation Methods

Kun Liu, Hillol Kargupta, Chris Giannella, 2008, Privacy-Preserving Data Mining.

A Striking Property of Genetic Code-like Transformations

Hillol Kargupta, H. Kargupta, 2001, Complex Syst..

Thoughts on Human Emotions, Breakthroughs in Communication, and the Next Generation of Data Mining

Hillol Kargupta, H. Kargupta, 2008, Next Generation of Data Mining.

Scalable, Distributed Data Mining - An Agent Architecture

Ilker Hamzaoglu, Hillol Kargupta, Brian Stafford, 1997, KDD.

A Fourier spectrum-based approach to represent decision trees for mining data streams in mobile environments

Hillol Kargupta, Byung-Hoon Park, 2004, IEEE Transactions on Knowledge and Data Engineering.

Orthogonal decision trees

Haimonti Dutta, Hillol Kargupta, Byung-Hoon Park, 2006, IEEE Transactions on Knowledge and Data Engineering.

MineFleet®: an overview of a widely adopted distributed vehicle performance data mining system

Hillol Kargupta, Michael Gilligan, Kakali Sarkar, 2010, KDD.

MineFleet®: The Vehicle Data Stream Mining System for Ubiquitous Environments

Hillol Kargupta, Vasundhara Puttagunta, Kakali Sarkar, 2010, Ubiquitous Knowledge Discovery.

ICDM Workshops 2009, IEEE International Conference on Data Mining Workshops, Miami, Florida, USA, 6 December 2009

Philip S. Yu, Sanjay Ranka, Jeffrey Xu Yu, 2009, ICDM Workshops.

Analyzing Driving Data using the ADAPT Distributed Analytics Platform for Connected Vehicles

Hillol Kargupta, Priyanka Kargupta, 2019, 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

The Gene Expression Messy Genetic Algorithm

Hillol Kargupta, H. Kargupta, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Extending the class of order-k delineable problems for the gene expression messy genetic algorithm

Hillol Kargupta, D. E. Goldberg, L. Wang, 1996 .

Distributed Linear Programming and Resource Management for Data Mining in Distributed Environments

Haimonti Dutta, Hillol Kargupta, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Graphical Models: Foundations of Neural Computation

Hillol Kargupta, Philip Chan, 2016, Pattern Analysis and Applications.

Knowledge discovery from heterogeneous data streams using fourier spectrum of decision trees

Hillol Kargupta, Byung-hoon Park, 2001 .

A local asynchronous distributed privacy preserving feature selection algorithm for large peer-to-peer networks

Hillol Kargupta, Kanishka Bhaduri, Kamalika Das, 2009, Knowledge and Information Systems.

Privacy Sensitive Distributed Data Mining from Multi-party Data

Kun Liu, Hillol Kargupta, Jessica Ryan, 2003, ISI.

A Resampling Technique for Learning the Fourier Spectrum of Skewed Data

Hillol Kargupta, Rajeev Ayyagari, 2002, DMKD.

A Temporal Sequence Processor Based on the Biological Reaction-diffusion Process

Sylvian R. Ray, Hillol Kargupta, S. Ray, 1993, Complex Syst..

Proceedings of the 2005 SIAM International Conference on Data Mining, SDM 2005, Newport Beach, CA, USA, April 21-23, 2005

Jaideep Srivastava, Hillol Kargupta, Arnold Goodman, 2005, SDM.

Dependency Detection in MobiMine and Random Matrices

Hillol Kargupta, Krishnamoorthy Sivakumar, Samiran Ghosh, 2002, PKDD.

Mining decision trees from data streams in a mobile environment

Hillol Kargupta, Byung-Hoon Park, H. Kargupta, 2001, Proceedings 2001 IEEE International Conference on Data Mining.

Distributed Data Mining in Peer-to-Peer Networks

Ran Wolff, Hillol Kargupta, Kanishka Bhaduri, 2006, IEEE Internet Computing.

The Genetic Code-Like Transformations and Their Effect on Learning Functions

Hillol Kargupta, H. Kargupta, 2000, PPSN.

Editorial: Computation in Gene Expression

Hillol Kargupta, 2004, Genetic Programming and Evolvable Machines.

The Distributed Data-Mining Worksho

Philip K. Chan, Hillol Kargupta, 1999 .

Guest Editors' Introduction: Special Section on Intelligence and Security Informatics

Hsinchun Chen, Daniel Dajun Zeng, Fei-Yue Wang, 2008, IEEE Trans. Knowl. Data Eng..

Peer-to-peer distributed text classifier learning in PADMINI

Haimonti Dutta, Kirk D. Borne, Hillol Kargupta, 2012, Stat. Anal. Data Min..

Web Based Parallel/Distributed Medical Data Mining Using Software Agents

Ilker Hamzaoglu, Hillol Kargupta, Brian Stafford, 1997, AMIA.

Scalable, asynchronous, distributed eigen monitoring of astronomy data streams

Kirk D. Borne, Hillol Kargupta, Kanishka Bhaduri, 2011, Stat. Anal. Data Min..

Distributed Clustering Using Collective Principal Component Analysis

Hillol Kargupta, Weiyun Huang, Krishnamoorthy Sivakumar, 2001, Knowledge and Information Systems.

A communication efficient probabilistic algorithm for mining frequent itemsets from a peer‐to‐peer network

Hillol Kargupta, Souptik Datta, H. Kargupta, 2009, Stat. Anal. Data Min..

Topic 5: Parallel and Distributed Databases

Domenico Talia, Josep-Lluís Larriba-Pey, Hillol Kargupta, 2008, Euro-Par.

Review of Advances in Distributed and Parallel Knowledge Discovery

Hillol Kargupta, Philip Chan, 2016, Pattern Analysis and Applications.

Toward ubiquitous mining of distributed data

Hillol Kargupta, Rajeev Ayyagari, Byong-Hoon Park, 2001, SPIE Defense + Commercial Sensing.

On the Privacy of Euclidean Distance Preserving Data Perturbation pdf

Kun Liu, Hillol Kargupta, Chris Giannella, 2009, ArXiv.

The performance of the gene expression messy genetic algorithm on real test functions

Hillol Kargupta, H. Kargupta, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Noname manuscript No. (will be inserted by the editor) In-Network Outlier Detection in Wireless Sensor Networks

Ran Wolff, Boleslaw K. Szymanski, Hillol Kargupta, 2022 .

Collective, Hierarchical Clustering from Distributed, Heterogeneous Data

Hillol Kargupta, Erik L. Johnson, H. Kargupta, 1999, Large-Scale Parallel Data Mining.

Distributed probabilistic inferencing in sensor networks using variational approximation

Hillol Kargupta, Sourav Mukherjee, H. Kargupta, 2008, J. Parallel Distributed Comput..

Gene expression: The missing link in evolutionary computation

Hillol Kargupta, 1997 .

Random-data perturbation techniques and privacy-preserving data mining

Qi Wang, Hillol Kargupta, Krishnamoorthy Sivakumar, 2005, Knowledge and Information Systems.

Distributed Decision‐Tree Induction in Peer‐to‐Peer Systems

Ran Wolff, Hillol Kargupta, Kanishka Bhaduri, 2008, Stat. Anal. Data Min..

Collective Mining of Bayesian Networks from Distributed Heterogeneous Data

Rong Chen, Hillol Kargupta, Krishnamoorthy Sivakumar, 2004, Knowl. Inf. Syst..

Gene Expression and Fast Construction of Distributed Evolutionary Representation

Hillol Kargupta, Byung-Hoon Park, H. Kargupta, 2001, Evolutionary Computation.

A Scalable Local Algorithm for Distributed Multivariate Regression

Hillol Kargupta, Kanishka Bhaduri, 2008 .

TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents

Haimonti Dutta, Kirk D. Borne, Hillol Kargupta, 2009, 2009 IEEE International Conference on Data Mining Workshops.

PADMA: PArallel Data Mining Agents for scalable text classification

Ilker Hamzaoglu, Hillol Kargupta, Brian Stafford, 1997 .

Introduction to data mining for sustainability

Katharina Morik, Hillol Kargupta, Kanishka Bhaduri, 2011, Data Mining and Knowledge Discovery.

Information Transmission in Genetic Algorithm and Shannon's Second Theorem

Hillol Kargupta, 1993, ICGA.

Analysis of privacy preserving random perturbation techniques: further explorations

Haimonti Dutta, Hillol Kargupta, Krishnamoorthy Sivakumar, 2003, WPES '03.

Orthogonal Decision Trees for Resource-Constrained Physiological Data Stream Monitoring Using Mobile Devices

Haimonti Dutta, Anupam Joshi, Hillol Kargupta, 2005, HiPC.

SEARCH, Blackbox Optimization, And Sample Complexity

David E. Goldberg, Hillol Kargupta, D. Goldberg, 1996, FOGA.

Energy Consumption in Data Analysis for On-board and Distributed Applications

Hillol Kargupta, Michael Powers, Ruchita Bhargava, 2003 .

Distributed Top-K Outlier Detection from Astronomy Catalogs using the DEMAC System

Haimonti Dutta, Kirk D. Borne, Hillol Kargupta, 2007, SDM.

A Scalable Local Algorithm for Distributed Multivariate Regression

Hillol Kargupta, Kanishka Bhaduri, H. Kargupta, 2008, Stat. Anal. Data Min..

Polynomial complexity blackbox search: lessons from the SEARCH framework

David E. Goldberg, Hillol Kargupta, D. Goldberg, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Learning functions using randomized genetic code-like transformations: probabilistic properties and experimentations

Hillol Kargupta, Samiran Ghosh, Rajeev Ayyagari, 2004, IEEE Transactions on Knowledge and Data Engineering.

An approach to online Bayesian learning from multiple data streams

Rong Chen, Hillol Kargupta, Krishnamoorthy Sivakumar, 2001 .

A Fourier Analysis Based Approach to Learning Decision Trees in a Distributed Environment

Hillol Kargupta, Byung-Hoon Park, Rajeev Ayyagari, 2001, SDM.

System Identification with Evolving Polynomial Networks

Hillol Kargupta, Robert E. Smith, Robert E. Smith, 1991, ICGA.

ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009

Philip S. Yu, Sanjay Ranka, Wei Wang, 2009, ICDM.

Constructing Simpler Decision Trees from Ensemble Models Using Fourier Analysis

Hillol Kargupta, Byung-Hoon Park, 2002, DMKD.

Communication efficient construction of decision trees over heterogeneously distributed data

Kun Liu, Hillol Kargupta, Chris Giannella, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

Dependency detection in MobiMine: a systems perspective

Hillol Kargupta, Byung-Hoon Park, Sweta Pittie, 2003, Inf. Sci..

From Gene Expression to Large Scale Evolutionary Optimization

Hillol Kargupta, H. Kargupta, 2000 .

Distributed Data Mining: Algorithms, Systems, and Applications

Hillol Kargupta, Byung-Hoon Park, H. Kargupta, 2003 .

Distributed and parallel knowledge discovery (workshop session) (title only)

Vipin Kumar, Zoran Obradovic, Hillol Kargupta, 2000, Knowledge Discovery and Data Mining.

Collective unsupervised data mining for heterogeneous wireless integrated network sensor arrays

Hillol Kargupta, Krishnamoorthy Sivakumar, Erik L. Johnson, 2001, SPIE Defense + Commercial Sensing.

Next Generation of Data Mining

Philip S. Yu, Vipin Kumar, Jiawei Han, 2008, Chapman and Hall / CRC Data Mining and Knowledge Discovery Series.

A collaborative distributed privacy-sensitive decision support system for monitoring heterogeneous data sources

Hillol Kargupta, Kakali Sarkar, Dipti Aswath, 2005, Proceedings of the 2005 International Symposium on Collaborative Technologies and Systems, 2005..

The gene expression messy genetic algorithm for financial applications

Hillol Kargupta, Kevin Buescher, K. Buescher, 1996, IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering (CIFEr).

Introduction to the Special Issue: Scalable Evolutionary Computation

Hillol Kargupta, 1999, Evolutionary Computation.

Empowering scientific discovery by distributed data mining on the grid infrastructure

Haimonti Dutta, Hillol Kargupta, H. Kargupta, 2007 .

Data mining "to go": ubiquitous KDD for mobile and distributed environments

Anupam Joshi, Hillol Kargupta, A. Joshi, 2001, KDD Tutorials.

Uniform Data Sampling from a Peer-to-Peer Network

Hillol Kargupta, Souptik Datta, 2007, 27th International Conference on Distributed Computing Systems (ICDCS '07).

Data Mining: Next Generation Challenges and Future Directions

Yelena Yesha, Hillol Kargupta, Krishnamoorthy Sivakumar, 2004 .

Distributed Identification of Top-l Inner Product Elements and its Application in a Peer-to-Peer Network

Kun Liu, Hillol Kargupta, Kanishka Bhaduri, 2008, IEEE Transactions on Knowledge and Data Engineering.

A communication efficient probabilistic algorithm for mining frequent itemsets from a peer-to-peer network

Hillol Kargupta, Souptik Datta, H. Kargupta, 2009 .

K-Means Clustering Over a Large, Dynamic Network

Hillol Kargupta, Chris Giannella, Souptik Datta, 2006, SDM.

Toward ubiquitous Mining of distributed Data

Hillol Kargupta, Krishnamoorthy Sivakumar, Byung-Hoon Park, 2001 .

A local distributed peer-to-peer algorithm using multi-party optimization based privacy preservation for data mining primitive computation

Hillol Kargupta, Kanishka Bhaduri, Kamalika Das, 2009, 2009 IEEE Ninth International Conference on Peer-to-Peer Computing.

Connected Cars: How Distributed Data Mining Is Changing the Next Generation of Vehicle Telematics Products

Hillol Kargupta, 2012, S-CUBE.

Distributed Web mining using Bayesian networks from multiple data streams

Rong Chen, Hillol Kargupta, Krishnamoorthy Sivakumar, 2001, Proceedings 2001 IEEE International Conference on Data Mining.

Efficient local algorithms for distributed data mining in large scale peer to peer environments: a deterministic approach

Hillol Kargupta, Kanishka Bhaduri, H. Kargupta, 2008 .

On the privacy preserving properties of random data perturbation techniques

Qi Wang, Hillol Kargupta, Krishnamoorthy Sivakumar, 2003, Third IEEE International Conference on Data Mining.

Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework

Kun Liu, Hillol Kargupta, Kamalika Das, 2007, PKDD.

Peer-to-Peer Data Mining, Privacy Issues, and Games

Hillol Kargupta, Kanishka Bhaduri, Kamalika Das, 2007, AIS-ADM.

Orthogonal decision trees

Haimonti Dutta, Hillol Kargupta, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

Book Reviews. Review of Advances in Distributed and Parallel Knowledge Discovery

Hillol Kargupta, Philip K. Chan, 2002, Pattern Anal. Appl..

Distributed Data Mining Bibliography

Hillol Kargupta, Kanishka Bhaduri, Kamalika Das, 2004 .

MineFleet[InlineEquation not available: see fulltext.]: The Vehicle Data Stream Mining System for Ubiquitous Environments.

Hillol Kargupta, Vasundhara Puttagunta, Kakali Sarkar, 2010 .

The Collective Data Mining: A Technology For Ubiquitous Data Analysis From Distributed Heterogeneous

Hillol Kargupta, Byung-hoon Park, 1998 .

In-Network Outlier Detection in Wireless Sensor Networks

Ran Wolff, Boleslaw K. Szymanski, Hillol Kargupta, 2006, ICDCS.

Distributed, Collaborative Data Analysis from Heterogeneous Sites Using a Scalable Evolutionary Technique

Eleonora Riva Sanseverino, Hillol Kargupta, Byung-Hoon Park, 2001, Applied Intelligence.

Report from the workshop on distributed and parallel knowledge discovery, ACM SIGKDD-2000

Vipin Kumar, Zoran Obradovic, Joydeep Ghosh, 2000, SKDD.

Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms

Kirk D. Borne, Hillol Kargupta, Kanishka Bhaduri, 2009, SDM.

Local L2-Thresholding Based Data Mining in Peer-to-Peer Systems

Ran Wolff, Hillol Kargupta, Kanishka Bhaduri, 2006, SDM.

Distributed Decision-Tree Induction in Peer-to-Peer Systems

Ran Wolff, Hillol Kargupta, Kanishka Bhaduri, 2008 .

Topic 5 - Parallel and Distributed Databases, Data Mining and Knowledge Discovery

Patrick Valduriez, Domenico Talia, Rui Camacho, 2005, Euro-Par.

Towards a Pervasive Grid

Elias N. Houstis, Timothy W. Finin, Anupam Joshi, 2003, Proceedings International Parallel and Distributed Processing Symposium.

The next generation of transportation systems,greenhouse emissions, and data mining

João Gama, Hillol Kargupta, Wei Fan, 2010, KDD.

Signal-to-noise, Crosstalk, and Long Range Problem Difficulty in Genetic Algorithms

Hillol Kargupta, H. Kargupta, 1995, ICGA.

Assured Information Sharing Life Cycle

Shouhuai Xu, Chris Clifton, Elisa Bertino, 2009, 2009 IEEE International Conference on Intelligence and Security Informatics.

Homeland security and privacy sensitive data mining from multi-party distributed resources

Kun Liu, Hillol Kargupta, Krishnamoorthy Sivakumar, 2003, The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03..

Further Experimentations on the Scalability of the GEMGA

Sanghamitra Bandyopadhyay, Hillol Kargupta, S. Bandyopadhyay, 1998, PPSN.

Privacy-Preserving Data Analysis on Graphs and Social Networks

Hillol Kargupta, Kamalika Das, Tyrone Grandison, 2008, Next Generation of Data Mining.

DNA To Protein: Transformations and Their Possible Role in Linkage Learning

Hillol Kargupta, Brian Stafford, H. Kargupta, 1997, ICGA.

A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems

Ran Wolff, Hillol Kargupta, Kanishka Bhaduri, 2009, IEEE Transactions on Knowledge and Data Engineering.

Computation in Gene Expression

Dirk Thierens, Hillol Kargupta, 2001, Complex Syst..

PADMINI: A Peer-to-Peer Distributed Astronomy Data Mining System and a Case Study

Kirk D. Borne, Hillol Kargupta, Sandipan Dey, 2010, CIDU.

An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks

Hillol Kargupta, Kanishka Bhaduri, H. Kargupta, 2008, SDM.

A perspective on the foundation and evolution of the linkage learning genetic algorithms

Hillol Kargupta, Sanghamitra Bandyopadhyay, S. Bandyopadhyay, 2000 .

Temporal sequence processing based on the biological reaction-diffusion process

Hillol Kargupta, Sylvian R. Ray, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Homeland Defense, Privacy-Sensitive Data Mining, and Random Value Distortion

Hillol Kargupta, Krishnamoorthy Sivakumar, Souptik Datta, 2003 .

MobiMine: monitoring the stock market from a PDA

Lei Liu, Hillol Kargupta, Byung-Hoon Park, 2002, SKDD.

Toward Machine Learning Through Genetic Code-like Transformations

Hillol Kargupta, Samiran Ghosh, H. Kargupta, 2002, Genetic Programming and Evolvable Machines.

Random projection-based multiplicative data perturbation for privacy preserving distributed data mining

Kun Liu, Hillol Kargupta, Jessica Ryan, 2006, IEEE Transactions on Knowledge and Data Engineering.

SEARCH, Computational Processes in Evolution, and Preliminary Development of the Gene Expression Messy Genetic Algorithm

Hillol Kargupta, H. Kargupta, 1997, Complex Syst..

RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms

Kalyanmoy Deb, David E. Goldberg, Hillol Kargupta, 1993, ICGA.

A Random Matrix-Based Approach for Dependency Detection from Data Streams

Hillol Kargupta, Krishnamoorthy Sivakumar, Samiran Ghosh, 2002, DMKD.

Distributed data mining and agents

Matthias Klusch, Josenildo Costa da Silva, Hillol Kargupta, 2005, Eng. Appl. Artif. Intell..

Algorithms for Distributed Data Stream Mining

Rong Chen, Ran Wolff, Hillol Kargupta, 2007, Data Streams - Models and Algorithms.

Distributed Data Mining for Sustainable Smart Grids

Hillol Kargupta, Sanghamitra Bandyopadhyay, Nikhil Sarda, 2011 .

Ordering Genetic Algorithms and Deception

Kalyanmoy Deb, David E. Goldberg, Hillol Kargupta, 1992, PPSN.

On-board Vehicle Data Stream Monitoring Using MineFleet and Fast Resource Constrained Monitoring of Correlation Matrices

Hillol Kargupta, Vasundhara Puttagunta, Kakali Sarkar, 2006, New Generation Computing.

Advances in Distributed and Parallel Knowledge Discovery

Philip K. Chan, Hillol Kargupta, H. Kargupta, 2000 .

Multi-agent Systems and Distributed Data Mining

Hillol Kargupta, Chris Giannella, Ruchita Bhargava, 2004, CIA.

Probabilistic approximate algorithms for distributed data mining in peer-to-peer networks

Hillol Kargupta, Souptik Datta, 2008 .

VEDAS: A Mobile and Distributed Data Stream Mining System for Real-Time Vehicle Monitoring

Kun Liu, Hillol Kargupta, Michael Powers, 2004, SDM.

Distributed Multivariate Regression Using Wavelet-Based Collective Data Mining

Hillol Kargupta, Daryl E. Hershberger, H. Kargupta, 2001, J. Parallel Distributed Comput..

Messy genetic algorithms: Recent developments

Hillol Kargupta, H. Kargupta, 1996 .

Approximate Distributed K-Means Clustering over a Peer-to-Peer Network

Hillol Kargupta, Chris Giannella, Souptik Datta, 2009, IEEE Transactions on Knowledge and Data Engineering.

Computation in Genetic Code-Like Transformations

Hillol Kargupta, H. Kargupta, 2000, GECCO.

Making Data Analysis Ubiquitous: My Journey Through Academia and Industry

Hillol Kargupta, 2012, Journeys to Data Mining.

An Attacker's View of Distance Preserving Maps for Privacy Preserving Data Mining

Kun Liu, Hillol Kargupta, Chris Giannella, 2006, PKDD.

Clustering distributed data streams in peer-to-peer environments

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Kun Liu, 2006, Inf. Sci..

Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks

Hillol Kargupta, Kanishka Bhaduri, Kamalika Das, 2011, Peer-to-Peer Netw. Appl..

Gene expression and scalable genetic search

Hillol Kargupta, H. Kargupta, 2003 .

SEARCH and a computational perspective of evolution

Hillol Kargupta, 1996 .

Function induction, gene expression, and evolutionary representation construction

Hillol Kargupta, H. Kargupta, Kakali Sarkar, 1999 .

A Signal-to-noise Framework for Quantifying Search Diiculties in Genetic Algorithms

Hillol Kargupta, H. Kargupta, 1994 .

TR-CS _ 01 _ 07 A Game Theoretic Approach toward Multi-Party Privacy-Preserving Distributed Data Mining

Hillol Kargupta, Kamalika Das, Kun Liu, 2007 .

A Game Theoretic Approach toward Multi-Party Privacy-Preserving Distributed Data Mining

Hillol Kargupta, Kamalika Das, 2007 .