H. Kargupta

Gang Wang, H. Kargupta, S. Bandyopadhyay, 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

Messy genetic algorithms: Recent developments

Hillol Kargupta, H. Kargupta, 1996 .

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).

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.

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..

Clustering distributed data streams in peer-to-peer environments

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

Distributed Multivariate Regression Using Wavelet-Based Collective Data Mining

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

Data Mining: Next Generation Challenges and Future Directions

Yelena Yesha, Hillol Kargupta, Krishnamoorthy Sivakumar, 2004 .

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

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

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

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

On the Privacy of Euclidean Distance Preserving Data Perturbation pdf

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

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

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

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

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

Distributed Data Mining in Peer-to-Peer Networks

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

Distributed data mining and agents

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

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..

From Gene Expression to Large Scale Evolutionary Optimization

Hillol Kargupta, H. Kargupta, 2000 .

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.

Introduction to data mining for sustainability

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

SEARCH, Blackbox Optimization, And Sample Complexity

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

IEEE TRANSACTIONS ® ON SYSTEMS, MAN, AND CYBERNETICS Editor-in-Chief

P. Borne, Eugene Santos, Vice President, 2009 .

Random-data perturbation techniques and privacy-preserving data mining

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

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

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

Breaching Euclidean distance-preserving data perturbation using few known inputs

H. Kargupta, Kun Liu, C. Giannella, 2009, Data & Knowledge Engineering.

On the privacy preserving properties of random data perturbation techniques

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

Next Generation of Data Mining

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

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.

Constrained blackbox optimization: The SEARCH perspective

H. Kargupta, V. Hanagandi, K. Buescher, 1996 .

Empowering scientific discovery by distributed data mining on the grid infrastructure

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

Collective Principal Component Analysis from Distributed, Heterogeneous Data

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

Advances in Distributed and Parallel Knowledge Discovery

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

Introduction to data mining for sustainability

K. Morik, H. Kargupta, Kanishka Bhaduri, 2012, Data Mining and Knowledge Discovery.

Computation in Genetic Code-Like Transformations

Hillol Kargupta, H. Kargupta, 2000, GECCO.

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.

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

H. Kargupta, Kanishka Bhaduri, K. Das, 2006, SKDD.

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..

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.

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

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

A Scalable Local Algorithm for Distributed Multivariate Regression

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

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

Ran Wolff, Hillol Kargupta, Kanishka Bhaduri, 2008 .

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.

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

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

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

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

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

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

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

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

Privacy Sensitive Distributed Data Mining from Multi-party Data

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

Distributed Data Mining Using An Agent Based Architecture

I. Hamzaoglu H. Kargupta, Brian Stafford, H. Kargupta, 1997, KDD 1997.

Blackbox Optimization : Implications Of SEARCH

H. Kargupta, E. David, Hillol, 1996 .

Function induction, gene expression, and evolutionary representation construction

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

Distributed probabilistic inferencing in sensor networks using variational approximation

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

Multi-agent Systems and Distributed Data Mining

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

Collective Mining of Bayesian Networks from Distributed Heterogeneous Data

K. Sivakumar, H. Kargupta, Rong Chen, 2004, Knowledge and Information Systems.

Toward ubiquitous mining of distributed data

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

Collective mining of Bayesian networks from distributed heterogeneous data

H. Kargupta, Kavinayan Sivakumar, R. Chen, 2007, Knowledge and Information Systems.

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

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

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.

Analysis of privacy preserving random perturbation techniques: further explorations

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

An Optimization based Modified Maximum Sensitive Item-Sets Conflict First Algorithm (MSICF) for Hiding Sensitive Item-Sets

D. Jaya Kumari, Nistala. V. E. S. Murthy, S. Srinivasa Suresh, 2013 .