HiPC International Conference On High Performance Computing
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HiPC 2002 - Bangalore, India - December 18-21
Bangalore Palace
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9 :0 0 a m - 1 :0 0 p m
Data Stream Mining in Mobile and Distributed Environments
Hillol Kargupta
University of Maryland Baltimore County

Audience: This tutorial will introduce attendees to issues involved in mobile and distributed data stream mining. It will assume that the audience has introductory knowledge of data mining, but no knowledge of data stream mining in a ubiquitous environment.

Course Description: This tutorial will present an overview of the state-of-the-art technology for ubiquitous data-stream mining (UDM) in mobile and distributed environments. Accessing and analyzing time critical data streams from a ubiquitous computing device offer many challenges. It requires a new breed of data mining algorithms that can handle continuous stream of data. In addition, UDM techniques should pay attention to the cost due to communication, computation, security, power consumption, and other factors. The tutorial will cover the following material: 1) Ubiquitous data mining: Introduction and motivation, 2) Accessing data streams in ubiquitous environments, 3) Data mining in a ubiquitous environment: An overview, 4) Cost of UDM: Systems, communication, power, security issues, 5) Data stream mining algorithms from single and multiple sources, 6) Communication languages for UDM applications, 7) Human-computer interaction issues, 8) Applications: Case studies, and 9) Future possibilities.

Lecturer: Dr. Kargupta is an Assistant Professor in the Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County. He is also a cofounder of Agnik (http://www.agnik.com), a company specializing on ubiquitous data intelligence. He received his Ph.D. in Computer Science from University of Illinois at Urbana-Champaign in 1996. His research interests include mobile and distributed data mining and computation in gene expression. Dr. Kargupta won the National Science Foundation (NSF) CAREER award in 2001 for his research on ubiquitous and distributed data mining. His research is also funded by several other grants from NSF, NASA, TRW Research Foundation, and Others. He won the 1997 Los Alamos Award for Outstanding Technical Achievement. His dissertation earned him the 1996 SIAM (Society for Industrial and Applied Mathematics) annual conferences, and books. He is the primary editor of a book entitled "Advances in Distributed and Parallel Knowledge Discovery", AAAI/MIT Press. He is an Associate Editor of the IEEE Transactions on System, Man, and Cybernetics, Part B. He has been in the Organizing Committee of the 2001, 2002, and 2003 SIAM International Data Mining Conference. He is a member of the program committee for the 2001 ACM SIGKDD conference and the 2002 IEEE International Conference on Data Mining, 2002 HiPC Conference, and 2002 CIKM among others. He organized numerous workshops, offered several tutorials, and edited journal special issues. More information about him can be found at http://www.cs.umbc.edu/~hillol.