Studies in Fuzziness and Soft Computing

Foundations and Advances in Data Mining

Editors: Chu, Wesley, Lin, Tsau Young (Eds.)

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About this book

With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.

Table of contents (11 chapters)

  • The Mathematics of Learning: Dealing with Data *

    Poggio, T. (et al.)

    Pages 1-19

  • Logical Regression Analysis: From Mathematical Formulas to Linguistic Rules

    Tsukimoto, H.

    Pages 21-61

  • A Feature/Attribute Theory for Association Mining and Constructing the Complete Feature Set

    Lin, T.Y.

    Pages 63-78

  • A New Theoretical Framework for K-Means-Type Clustering

    Peng, J. (et al.)

    Pages 79-96

  • Clustering Via Decision Tree Construction

    Liu, B. (et al.)

    Pages 97-124

Buy this book

eBook $209.00
price for USA (gross)
  • ISBN 978-3-540-32393-8
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $269.00
price for USA
  • ISBN 978-3-540-25057-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $269.00
price for USA
  • ISBN 978-3-642-42538-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Foundations and Advances in Data Mining
Editors
  • Wesley Chu
  • Tsau Young Lin
Series Title
Studies in Fuzziness and Soft Computing
Series Volume
180
Copyright
2005
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-32393-8
DOI
10.1007/b104039
Hardcover ISBN
978-3-540-25057-9
Softcover ISBN
978-3-642-42538-7
Series ISSN
1434-9922
Edition Number
1
Number of Pages
X, 342
Topics