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Advances in Knowledge Discovery and Data Mining, Part I: 16th Pacific-asia Conference, Pakdd 2012, Kuala Lumpur, Malaysia, May 29-june1, 2012, Proceedings, Part I

Advances in Knowledge Discovery and Data Mining, Part I: 16th Pacific-asia Conference, Pakdd 2012, Kuala Lumpur, Malaysia, May 29-june1, 2012, Proceedings, Part I

Advances in Knowledge Discovery and Data Mining, Part I: 16th Pacific-asia
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Advances in Knowledge Discovery and Data Mining, Part I: 16th Pacific-asia Conference, Pakdd 2012, Kuala Lumpur, Malaysia, May 29-june1, 2012, Proceedings, Part I Paperback - 2012 - 2012th Edition

by Tan, Pang-Ning (Editor)/ Chawla, Sanjay (Editor)/ Ho, Chin Kuan (Editor)/ Bailey, James (Editor)

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Springer-Verlag New York Inc, 2012. Paperback. New. 2012 edition. 642 pages. 9.00x6.10x1.70 inches.
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Details

  • Title Advances in Knowledge Discovery and Data Mining, Part I: 16th Pacific-asia Conference, Pakdd 2012, Kuala Lumpur, Malaysia, May 29-june1, 2012, Proceedings, Part I
  • Author Tan, Pang-Ning (Editor)/ Chawla, Sanjay (Editor)/ Ho, Chin Kuan (Editor)/ Bailey, James (Editor)
  • Binding Paperback
  • Edition number 2012th
  • Edition 2012
  • Condition New
  • Pages 619
  • Volumes 1
  • Language ENG
  • Publisher Springer-Verlag New York Inc
  • Publication date 2012
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # x-3642302165
  • ISBN 9783642302169 / 3642302165
  • Weight 2.05 lbs (0.93 kg)
  • Dimensions 9.2 x 6.1 x 1.3 in (23.37 x 15.49 x 3.30 cm)
  • Category Computers - General Information
  • Dewey Decimal Code 004.6
  • Quantity available 2

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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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