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Advances in Knowledge Discovery and Data Mining, Part II: 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, ... II (Lecture Notes in Computer Science, 7302)

Advances in Knowledge Discovery and Data Mining, Part II: 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, ... II (Lecture Notes in Computer Science, 7302)

Advances in Knowledge Discovery and Data Mining, Part II: 16th Pacific-Asia
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Advances in Knowledge Discovery and Data Mining, Part II: 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, ... II (Lecture Notes in Computer Science, 7302) Paperback - 2012 - 2012th Edition

by Tan, Pang-Ning

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Springer, 2012-04-26. 2012. paperback. New. 6.10x1.07x9.25. Buy with confidence. Excellent Customer Service & Return policy.
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  • Title Advances in Knowledge Discovery and Data Mining, Part II: 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, ... II (Lecture Notes in Computer Science, 7302)
  • Author Tan, Pang-Ning
  • Binding Paperback
  • Edition number 2012th
  • Edition 2012
  • Condition New
  • Pages 445
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2012-04-26
  • Bookseller's Inventory # DADAX364230219X
  • ISBN 9783642302190 / 364230219X
  • Weight 1.55 lbs (0.70 kg)
  • Dimensions 9.2 x 6.1 x 1 in (23.37 x 15.49 x 2.54 cm)
  • Size 6.10x1.07x9.25
  • Category Computers - General Information
  • Dewey Decimal Code 004.6
  • Quantity available 1

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From the publisher

The two-volume set LNAI 7301 and 7302 constitutes the refereed proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2012, held in Kuala Lumpur, Malaysia, in May 2012. The total of 20 revised full papers and 66 revised short papers were carefully reviewed and selected from 241 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas. The papers are organized in topical sections on supervised learning: active, ensemble, rare-class and online; unsupervised learning: clustering, probabilistic modeling in the first volume and on pattern mining: networks, graphs, time-series and outlier detection, and data manipulation: pre-processing and dimension reduction in the second volume.
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