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Studies in Computational Intelligence

Quality Measures in Data Mining

Editors: Guillet, Fabrice, Hamilton, Howard J. (Eds.)

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  • ISBN 978-3-540-44918-8
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  • ISBN 978-3-540-44911-9
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Softcover $199.99
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  • ISBN 978-3-642-07952-8
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About this book

Data mining analyzes large amounts of data to discover knowledge relevant to decision making. Typically, numerous pieces of knowledge are extracted by a data mining system and presented to a human user, who may be a decision-maker or a data-analyst. The user is confronted with the task of selecting the pieces of knowledge that are of the highest quality or interest according to his or her preferences. Since this selection is sometimes a daunting task, designing quality and interestingness measures has become an important challenge for data mining researchers in the last decade.

This volume presents the state of the art concerning quality and interestingness measures for data mining. The book summarizes recent developments and presents original research on this topic. The chapters include surveys, comparative studies of existing measures, proposals of new measures, simulations, and case studies. Both theoretical and applied chapters are included. Papers for this book were selected and reviewed for correctness and completeness by an international review committee.

Table of contents (12 chapters)

  • Choosing the Right Lens: Finding What is Interesting in Data Mining

    Geng, Liqiang (et al.)

    Pages 3-24

  • A Graph-based Clustering Approach to Evaluate Interestingness Measures: A Tool and a Comparative Study

    Huynh, Xuan-Hiep (et al.)

    Pages 25-50

  • Association Rule Interestingness Measures: Experimental and Theoretical Studies

    Lenca, Philippe (et al.)

    Pages 51-76

  • On the Discovery of Exception Rules: A Survey

    Duval, Béatrice (et al.)

    Pages 77-98

  • Measuring and Modelling Data Quality for Quality-Awareness in Data Mining

    Berti-Équille, Laure

    Pages 101-126

Buy this book

eBook $149.00
price for USA in USD (gross)
  • ISBN 978-3-540-44918-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.99
price for USA in USD
  • ISBN 978-3-540-44911-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.99
price for USA in USD
  • ISBN 978-3-642-07952-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Quality Measures in Data Mining
Editors
  • Fabrice Guillet
  • Howard J. Hamilton
Series Title
Studies in Computational Intelligence
Series Volume
43
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-44918-8
DOI
10.1007/978-3-540-44918-8
Hardcover ISBN
978-3-540-44911-9
Softcover ISBN
978-3-642-07952-8
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XIV, 314
Topics