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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 - Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Details

  • Title Advances in Knowledge Discovery and Data Mining
  • Author Usama M. Fayyad (Editor); Gregory Piatetsky-Shapiro (Editor); Padhraic Smyth (Editor)
  • Binding Paperback
  • Edition International Ed
  • Condition Used - Good
  • Pages 625
  • Volumes 1
  • Language ENG
  • Publisher MIT Press, Cumberland, Rhode Island, U.S.A.
  • Publication date 1996-02
  • Bookseller's Inventory # GRP14204538
  • ISBN 9780262560979 / 0262560976
  • Weight 1.88 lbs (0.85 kg)
  • Dimensions 9.01 x 6.13 x 1.35 in (22.89 x 15.57 x 3.43 cm)
  • Age range 18 to UP years
  • Grade levels 13 - UP
  • Category Computers - Data Base Management
  • Library of Congress Catalogue Number 95-45329
  • Dewey Decimal Code 005.740
  • Quantity available 2

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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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