Item description for Large-Scale Parallel Data Mining (Lecture Notes in Computer Science) by Mohammed J. Zaki...
With the unprecedented growth-rate at which data is being collected and stored electronically today in almost all fields of human endeavor, the efficient extraction of useful information from the data available is becoming an increasing scientific challenge and a massive economic need. This book presents thoroughly reviewed and revised full versions of papers presented at a workshop on the topic held during KDD'99 in San Diego, California, USA in August 1999 complemented by several invited chapters and a detailed introductory survey in order to provide complete coverage of the relevant issues. The contributions presented cover all major tasks in data mining including parallel and distributed mining frameworks, associations, sequences, clustering, and classification. All in all, the volume presents the state of the art in the young and dynamic field of parallel and distributed data mining methods. It will be a valuable source of reference for researchers and professionals.
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Est. Packaging Dimensions: Length: 9.1" Width: 6" Height: 0.6" Weight: 1 lbs.
Release Date Sep 18, 2002
ISBN 3540671943 ISBN13 9783540671947
Availability 61 units. Availability accurate as of Jan 18, 2017 05:49.
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More About Mohammed J. Zaki
Mohammed J. Zaki is a Professor of Computer Science at Rensselaer Polytechnic Institute, United States.
Mohammed J. Zaki was born in 1971 and has an academic affiliation as follows - Rensselaer Polytechnic Institute, New York.