I thought readers of the Uncertainty in AI list might be interested in this
book. For more information please visit
http://mitpress.mit.edu/promotions/books/KARDPF00.
Advances in Distributed and Parallel Data Knowledge Discovery
edited by Hillol Kargupta and Philip Chan
foreword by Vipin Kumar
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 Wüthrich, Mohammed Zaki, Joshua Zhang.
6 x 9, 400 pp., paper ISBN 0-262-61155-4
Distributed for AAAI Press
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