D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 45 Citations 9,136 138 World Ranking 4570 National Ranking 2293

Research.com Recognitions

Awards & Achievements

2011 - IEEE Fellow For contributions to distributed data mining

Overview

What is he best known for?

The fields of study Hillol Kargupta is best known for:

  • The Internet
  • Cluster analysis
  • Computer network

His Power (physics) study is within the categories of Power consumption and Reliability (semiconductor). Hillol Kargupta frequently studies issues relating to Power (physics) and Reliability (semiconductor). Data mining and Data stream mining are two areas of study in which he engages in interdisciplinary work. While working on this project, he studies both Data stream mining and Data mining. He incorporates Cluster analysis and Machine learning in his studies. In his works, he undertakes multidisciplinary study on Machine learning and Cluster analysis. He merges Distributed computing with Distributed Computing Environment in his study. Hillol Kargupta performs multidisciplinary studies into Distributed Computing Environment and Distributed computing in his work. He undertakes interdisciplinary study in the fields of Computer network and Distributed algorithm through his works.

His most cited work include:

  • Random projection-based multiplicative data perturbation for privacy preserving distributed data mining (477 citations)
  • Distributed Data Mining in Peer-to-Peer Networks (213 citations)
  • In-network outlier detection in wireless sensor networks (208 citations)

What are the main themes of his work throughout his whole career to date

Hillol Kargupta performs multidisciplinary study on Data mining and Data science in his works. He performs integrative Data science and Data mining research in his work. His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Perspective (graphical). Perspective (graphical) is closely attributed to Artificial intelligence in his research. In his works, he undertakes multidisciplinary study on Distributed computing and Distributed database. He incorporates Algorithm and Computation in his studies. He performs multidisciplinary studies into Computation and Algorithm in his work. In his work, Hillol Kargupta performs multidisciplinary research in Computer network and Wireless sensor network. He performs multidisciplinary study in Wireless sensor network and Computer network in his work.

Hillol Kargupta most often published in these fields:

  • Data mining (66.67%)
  • Artificial intelligence (55.56%)
  • Distributed computing (31.11%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

On the privacy preserving properties of random data perturbation techniques

H. Kargupta;S. Datta;Q. Wang;Krishnamoorthy Sivakumar.
international conference on data mining (2003)

832 Citations

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

Kun Liu;H. Kargupta;J. Ryan.
IEEE Transactions on Knowledge and Data Engineering (2006)

671 Citations

RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms

David E. Goldberg;Kalyanmoy Deb;Hillol Kargupta;Georges Harik.
international conference on genetic algorithms (1993)

611 Citations

In-network outlier detection in wireless sensor networks

Joel W. Branch;Chris Giannella;Boleslaw K. Szymanski;Ran Wolff.
Knowledge and Information Systems (2013)

532 Citations

In-Network Outlier Detection in Wireless Sensor Networks

J. Branch;B. Szymanski;C. Giannella;Ran Wolff.
international conference on distributed computing systems (2006)

323 Citations

Distributed Data Mining in Peer-to-Peer Networks

S. Datta;K. Bhaduri;C. Giannella;R. Wolff.
IEEE Internet Computing (2006)

309 Citations

Random-data perturbation techniques and privacy-preserving data mining

Hillol Kargupta;Souptik Datta;Qi Wang;Krishnamoorthy Sivakumar.
Knowledge and Information Systems (2005)

265 Citations

Advances in Distributed and Parallel Knowledge Discovery

Hillol Kargupta;Philip Chan.
(2000)

264 Citations

Distributed clustering using collective principal component analysis

Hillol Kargupta;Weiyun Huang;Krishnamoorthy Sivakumar;Erik Johnson.
Knowledge and Information Systems (2001)

255 Citations

The Gene Expression Messy Genetic Algorithm

H. Kargupta.
ieee international conference on evolutionary computation (1996)

251 Citations

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