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Kargupta, Hilol - Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County
A Scalable Local Algorithm for Distributed Multivariate Regression
Uniform Data Sampling from a Peer-to-Peer Network Souptik Datta, Hillol Kargupta
A SURVEY OF ATTACK TECHNIQUES ON PRIVACY-PRESERVING DATA PERTURBATION
A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems
In-Network Outlier Detection in Wireless Sensor Networks Joel Branch and Boleslaw Szymanski
Orthogonal Decision Trees Hillol Kargupta
Orthogonal Decision Trees Hillol Kargupta
Accepted for publication in Knowledge and Information Collective Mining of Bayesian Networks
myjournal manuscript No. (will be inserted by the editor)
A Game Theoretic Approach toward Multi-Party Privacy-Preserving Distributed Data Mining
An Attacker's View of Distance Preserving Maps For Privacy Preserving Data Mining
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On the Privacy Preserving Properties of Random Data Perturbation Techniques Hillol Kargupta and Souptik Datta
Dependency Detection in MobiMine and Random Matrices
Client-side Web Mining for Community Formation in Peer-to-Peer Environments
Distributed Clustering Using Collective Principal Component Hillol Kargupta
Gene Expression and Fast Construction of Distributed Evolutionary Representation
Distributed Identification of Top-l Inner Product Elements and its Application in a Peer-to-Peer
An efficient local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks
Distributed Multivariate Regression Using Wavelet-based Collective Data Mining.
Technical Report TR-CS_01_07 A Game Theoretic Approach toward Multi-Party
Distributed Data Mining in Peer-to-Peer Networks Souptik Datta Kanishka Bhaduri Chris Giannella Ran Wolff
Scalable Evolutionary Computation Hillol Kargupta
Energy Consumption in Data Analysis for On-board and Distributed Applications
Orthogonal Decision Trees for Resource-Constrained Physiological Data Stream Monitoring using Mobile Devices
Privacy-Sensitive Bayesian Network Parameter Learning D. Meng and K. Sivakumar
MobiMine: Monitoring the Stock Market from a PDA Hillol Kargupta, ByungHoon Park,
List of Figures 1 Guessing by exploiting the relations and classes defined by the
Distributed Decision Tree Induction in Peer-to-Peer Systems
Random Projection-Based Multiplicative Data Perturbation for Privacy Preserving
Thoughts on Human Emotions, Breakthroughs in Communication, and the Next Generation of Data Mining
Communication Efficient Construction of Decision Trees Over Heterogeneously Distributed Data
This is the book forward. Dr. Firstname Lastname
PPNA manuscript No. (will be inserted by the editor)
Scalable, Asynchronous, Distributed Eigen-Monitoring of Astronomy Data Streams
A Local Distributed Peer-to-Peer Algorithm Using Multi-Party Optimization Based Privacy Preservation for Data Mining Primitive Computation
Under consideration for publication in Knowledge and Information A Local Asynchronous Distributed