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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 Papeback - 1104

by Thanaruk Theeramunkong (Editor); Boonserm Kijsirikul (Editor); Nick Cercone (Editor)

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Springer , pp. 1104 . Papeback. New.
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Details

  • Title Advances in Knowledge Discovery and Data Mining
  • Author Thanaruk Theeramunkong (Editor); Boonserm Kijsirikul (Editor); Nick Cercone (Editor)
  • Binding Papeback
  • Edition US Edition
  • Condition New
  • Pages 1076
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date pp. 1104
  • Bookseller's Inventory # 63053196
  • ISBN 9783642013065 / 3642013066
  • Weight 2.64 lbs (1.20 kg)
  • Dimensions 9.4 x 6.2 x 1.5 in (23.88 x 15.75 x 3.81 cm)
  • Category Computers - General Information
  • Dewey Decimal Code 004
  • Quantity available 4

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Reader reviews for Advances in Knowledge Discovery and Data Mining

From the publisher

This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009. The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.

From the rear cover

This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009.

The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.

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