Lecture Notes in Artificial Intelligence Lect.Notes ComputerState-of-the-Art Surveys

Data Mining

Theory, Methodology, Techniques, and Applications

Editors: Williams, Graham J., Simoff, Simeon J. (Eds.)

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Table of contents (25 chapters)

Table of contents (25 chapters)
  • Generality Is Predictive of Prediction Accuracy

    Pages 1-13

    Webb, Geoffrey I. (et al.)

  • Visualisation and Exploration of Scientific Data Using Graphs

    Pages 14-27

    Raymond, Ben (et al.)

  • A Case-Based Data Mining Platform

    Pages 28-38

    Wang, Xingwen (et al.)

  • Consolidated Trees: An Analysis of Structural Convergence

    Pages 39-52

    Pérez, Jesús M. (et al.)

  • K Nearest Neighbor Edition to Guide Classification Tree Learning: Motivation and Experimental Results

    Pages 53-63

    Martínez-Otzeta, J. M. (et al.)

Buy this book

eBook $69.99
price for USA in USD
  • ISBN 978-3-540-32548-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $89.99
price for USA in USD
  • ISBN 978-3-540-32547-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Data Mining
Book Subtitle
Theory, Methodology, Techniques, and Applications
Editors
  • Graham J. Williams
  • Simeon J. Simoff
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
3755
Copyright
2006
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-32548-2
DOI
10.1007/11677437
Softcover ISBN
978-3-540-32547-5
Edition Number
1
Number of Pages
XI, 331
Topics