Advances in Distributed and Parallel Knowledge Discovery [Paperback]

Philip Chan (Editor), Hillol Kargupta (Editor), M.S. Vijay Kumar (Foreword)

Book Description

Publication Date: September 11, 2000 | Series: American Association for Artificial Intelligence

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.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.

Editorial Reviews

About the Author

This book presents introductions to DKD and PKD, extensive reviews of the field, and state-of-the-art techniques.

Product Details

• Paperback: 400 pages
• Publisher: The MIT Press; 1st edition (September 11, 2000)
• Language: English
• ISBN-10: 0262611554
• ISBN-13: 978-0262611558
• Product Dimensions: 9 x 6 x 1.4 inches
• Shipping Weight: 1.8 pounds (View shipping rates and policies)
• Amazon Best Sellers Rank: #1,868,210 in Books (See Top 100 in Books)