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Advances in Knowledge Discovery and Data Mining: 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings (Lecture Notes in Computer Science, 2035)

Advances in Knowledge Discovery and Data Mining: 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings (Lecture Notes in Computer Science, 2035)

Advances in Knowledge Discovery and Data Mining: 5th Pacific-Asia Conference,
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Advances in Knowledge Discovery and Data Mining: 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings (Lecture Notes in Computer Science, 2035) Paperback - 2001 - 2001st Edition

by Cheung, David

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Springer, 2001-04-04. 2001. paperback. New. 6.10x1.39x9.25. Buy with confidence. Excellent Customer Service & Return policy.
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  • Title Advances in Knowledge Discovery and Data Mining: 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings (Lecture Notes in Computer Science, 2035)
  • Author Cheung, David
  • Binding Paperback
  • Edition number 2001st
  • Edition 2001
  • Condition New
  • Pages 599
  • Volumes 1
  • Language ENG
  • Publisher Springer, New York, NY, U.S.A.
  • Publication date 2001-04-04
  • Features Maps
  • Bookseller's Inventory # DADAX3540419101
  • ISBN 9783540419105 / 3540419101
  • Weight 1.89 lbs (0.86 kg)
  • Dimensions 9.21 x 6.14 x 1.25 in (23.39 x 15.60 x 3.18 cm)
  • Size 6.10x1.39x9.25
  • Category Computers - General Information
  • Library of Congress Catalogue Number 2001020908
  • Dewey Decimal Code 006.3
  • Quantity available 1

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From the publisher

This book constitutes the refereed proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, held in Hong Kong, China in April 2001.
The 38 revised full papers and 22 short papers presented were carefully reviewed and selected from a total of 152 submissions. The book offers topical sections on Web mining, text mining, applications and tools, concept hierarchies, feature selection, interestingness, sequence mining, spatial and temporal mining, association mining, classification and rule induction, clustering, and advanced topics and new methods.

First line

Information extraction (IE) is concerned with extracting from a collection of documents the information relevant to a particular extraction task.

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