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Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining
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Advances in Knowledge Discovery and Data Mining Paperback - 1996

by Usama M. Fayyad (Editor); Gregory Piatetsky-Shapiro (Editor); Padhraic Smyth (Editor)

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MIT Press. Used - Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Reader reviews for Advances in Knowledge Discovery and Data Mining

From the publisher

Advances in Knowledge Discovery and Data Mining brings together the latest research--in statistics, databases, machine learning, and artificial intelligence--that are part of the exciting and rapidly growing field of Knowledge Discovery and Data Mining.

Advances in Knowledge Discovery and Data Mining brings together the latest research--in statistics, databases, machine learning, and artificial intelligence--that are part of the exciting and rapidly growing field of Knowledge Discovery and Data Mining. Topics covered include fundamental issues, classification and clustering, trend and deviation analysis, dependency modeling, integrated discovery systems, next generation database systems, and application case studies. The contributors include leading researchers and practitioners from academia, government laboratories, and private industry. The last decade has seen an explosive growth in the generation and collection of data. Advances in data collection, widespread use of bar codes for most commercial products, and the computerization of many business and government transactions have flooded us with data and generated an urgent need for new techniques and tools that can intelligently and automatically assist in transforming this data into useful knowledge. This book is a timely and comprehensive overview of the new generation of techniques and tools for knowledge discovery in data. Distributed for AAAI Press

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