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Data Mining and Knowledge Discovery Handbook

Data Mining and Knowledge Discovery Handbook

Data Mining and Knowledge Discovery Handbook
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Data Mining and Knowledge Discovery Handbook Hardback - 2005 - 1st Edition

by Oded Maimon; Lior Rokach; Oded Maimon (Editor)

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Description

Springer, 2005. Hardcover. Good. Former library book. Different cover. Edition 2005. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Details

  • Title Data Mining and Knowledge Discovery Handbook
  • Author Oded Maimon; Lior Rokach; Oded Maimon (Editor)
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition Used - Good
  • Pages 1383
  • Volumes 1
  • Language ENG
  • Publisher Springer, New York
  • Publication date 2005
  • Illustrated Yes
  • Bookseller's Inventory # I-126-769
  • ISBN 9780387244358 / 0387244352
  • Weight 4.74 lbs (2.15 kg)
  • Dimensions 9.52 x 6.46 x 2.65 in (24.18 x 16.41 x 6.73 cm)
  • Category Computers - Data Base Management
  • Library of Congress subjects Data mining, Knowledge acquisition (Expert systems)
  • Library of Congress Catalogue Number 2005042640
  • Dewey Decimal Code 006.312
  • Quantity available 1

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From the publisher

Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

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