2011 - IEEE Fellow For contributions to distributed data mining
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.
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.
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On the privacy preserving properties of random data perturbation techniques
H. Kargupta;S. Datta;Q. Wang;Krishnamoorthy Sivakumar.
international conference on data mining (2003)
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)
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)
In-network outlier detection in wireless sensor networks
Joel W. Branch;Chris Giannella;Boleslaw K. Szymanski;Ran Wolff.
Knowledge and Information Systems (2013)
In-Network Outlier Detection in Wireless Sensor Networks
J. Branch;B. Szymanski;C. Giannella;Ran Wolff.
international conference on distributed computing systems (2006)
Distributed Data Mining in Peer-to-Peer Networks
S. Datta;K. Bhaduri;C. Giannella;R. Wolff.
IEEE Internet Computing (2006)
Random-data perturbation techniques and privacy-preserving data mining
Hillol Kargupta;Souptik Datta;Qi Wang;Krishnamoorthy Sivakumar.
Knowledge and Information Systems (2005)
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.
Knowledge and Information Systems (2001)
The Gene Expression Messy Genetic Algorithm
ieee international conference on evolutionary computation (1996)
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