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Advances in Distributed and Parallel Data Knowledge Discovery
	 edited by Hillol Kargupta and Philip Chan
	 foreword by Vipin Kumar

http://mitpress.mit.edu/promotions/books/KARDPF00

Knowledge discovery and data mining (KDD) deals with the problem of
extracting interesting associations, classifiers, clusters, and other
patterns from data. The emergence of network-based distributed
computing environments has introduced an important new dimension to
this problem--distributed sources of data. Traditional centralized KDD
typically requires central aggregation of distributed data, which may
not always be feasible because of limited network bandwidth, security
concerns, scalability problems, and other practical issues. Distributed
knowledge discovery (DKD) works with the merger of communication and
computation by analyzing data in a distributed fashion. This technology
is particularly useful for large heterogeneous distributed environments
such as the Internet, intranets, mobile computing environments, and
sensor-networks.

When the data sets are large, scaling up the speed of the KDD process
is crucial. Parallel knowledge discovery (PKD) techniques addresses
this problem by using high-performance multiprocessor machines. This
book presents introductions to DKD and PKD, extensive reviews of the
field, and state-of-the-art techniques.

Hillol Kargupta is Assistant Professor and Director of the Distributed
Adaptive Discovery and Computation Group, School of Electrical
Engineering and Computer Science, Washington State University. Philip
Chan is Assistant Professor of Computer Science at the Florida
Institute of Technology.

Contributors

Rakesh Agrawal, Khaled AlSabti, Stuart Bailey, Philip Chan, David
Cheung, Vincent Cho, Joydeep Ghosh, Robert Grossman, Yi-ke Guo, John
Hale, John Hall, Daryl Hershberger, Ching-Tien Ho, Erik Johnson, Chris
Jones, Chandrika Kamath, Hillol Kargupta, Charles Lo, Balinder Malhi,
Ron Musick, Vincent Ng, Byung-Hoon Park, Srinivasan Parthasarathy,
Andreas Prodromidis, Foster Provost, Jian Pun, Ashok Ramu, Sanjay
Ranka, Mahesh Sreenivas, Salvatore Stolfo, Ramesh Subramonian, Janjao
Sutiwaraphun, Kagan Tummer, Andrei Turinsky, Beat W|thrich, Mohammed
Zaki, Joshua Zhang.

6 x 9, 400 pp., paper ISBN 0-262-61155-4

Distributed for AAAI Press