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Research.com Recognitions

  • 2011 - IEEE Fellow For contributions to distributed data mining

Overview

Hillol Kargupta is affiliated with the University of Maryland, Baltimore County in the United States. The scientist's research has contributed to the field of distributed data mining, a specialization recognized by the IEEE Fellowship awarded in 2011 for contributions to this area.

Kargupta's work primarily revolves around distributed data mining methodologies and their applications. The IEEE Fellow award indicates a significant impact within this specialized field, particularly concerning distributed computing systems and data analysis techniques that operate over decentralized networks.

While detailed information about specific research papers, co-authors, publication venues, or topics beyond the primary affiliation and award is not available, the acknowledgment by a prestigious professional body such as IEEE suggests an engagement with advanced computational frameworks related to mining information from distributed datasets.

This profile summarizes Hillol Kargupta's academic standing and focus on distributed data mining, framed within their association at the University of Maryland, Baltimore County.

Best Publications

  • On the privacy preserving properties of random data perturbation techniques

    H. Kargupta;S. Datta;Q. Wang;Krishnamoorthy Sivakumar

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

    Kun Liu;H. Kargupta;J. Ryan

  • RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms

    David E. Goldberg;Kalyanmoy Deb;Hillol Kargupta;Georges Harik

  • In-network outlier detection in wireless sensor networks

    Joel W. Branch;Chris Giannella;Boleslaw K. Szymanski;Ran Wolff

  • Onboard vehicle data mining, social networking, and pattern-based advertisement

    Hillol Kargupta

  • In-Network Outlier Detection in Wireless Sensor Networks

    J. Branch;B. Szymanski;C. Giannella;Ran Wolff

  • Distributed Data Mining in Peer-to-Peer Networks

    S. Datta;K. Bhaduri;C. Giannella;R. Wolff

  • Random-data perturbation techniques and privacy-preserving data mining

    Hillol Kargupta;Souptik Datta;Qi Wang;Krishnamoorthy Sivakumar

  • Advances in Distributed and Parallel Knowledge Discovery

    Hillol Kargupta;Philip Chan

  • Distributed clustering using collective principal component analysis

    Hillol Kargupta;Weiyun Huang;Krishnamoorthy Sivakumar;Erik Johnson

  • The Gene Expression Messy Genetic Algorithm

    H. Kargupta

  • Clustering distributed data streams in peer-to-peer environments

    Sanghamitra Bandyopadhyay;Chris Giannella;Ujjwal Maulik;Hillol Kargupta

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

    Hillol Kargupta;Ruchita Bhargava;Kun Liu;Michael Powers

  • Scalable, distributed data mining—an agent architecture

    Hillol Kargupta;Ilker Hamzaoglu;Brian Stafford

  • An attacker's view of distance preserving maps for privacy preserving data mining

    Kun Liu;Chris Giannella;Hillol Kargupta

  • Collective, Hierarchical Clustering from Distributed, Heterogeneous Data

    Erik L. Johnson;Hillol Kargupta

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

    S. Datta;C.R. Giannella;H. Kargupta

  • MobiMine: monitoring the stock market from a PDA

    Hillol Kargupta;Byung-Hoon Park;Sweta Pittie;Lei Liu

  • K-Means Clustering Over a Large, Dynamic Network.

    Souptik Datta;Chris Giannella;Hillol Kargupta

  • Distributed data mining and agents

    Josenildo C. da Silva;Chris Giannella;Ruchita Bhargava;Hillol Kargupta

  • Data Mining: Next Generation Challenges and Future Directions

    Hillol Kargupta;Anupam Joshi;Krishnamoorthy Sivakumar;Yelena Yesha

Frequent Co-Authors

Philip K. Chan
Philip K. Chan Florida Institute of Technology
Anupam Joshi
Anupam Joshi University of Maryland, Baltimore County
Sanghamitra Bandyopadhyay
Sanghamitra Bandyopadhyay Indian Statistical Institute
Boleslaw K. Szymanski
Boleslaw K. Szymanski Rensselaer Polytechnic Institute
David E. Goldberg
David E. Goldberg University of Illinois at Urbana-Champaign
Vipin Kumar
Vipin Kumar University of Minnesota
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Tim Finin
Tim Finin University of Maryland, Baltimore County
Fei-Yue Wang
Fei-Yue Wang Chinese Academy of Sciences

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