Large-Scale Parallel Data Mining (Paperback, 2000 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Computer Science, 1759
Release date:	2001
First published:	2000
Editors:	Mohammed J. Zaki • Ching-Tien Ho
Dimensions:	233 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	260
Edition:	2000 ed.
ISBN-13:	978-3-540-67194-7
Categories:	Books > Computing & IT > Applications of computing > Databases > Data capture & analysis Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-540-67194-3
Barcode:	9783540671947

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