The Springer International Series in Engineering and Computer Science

Feature Extraction, Construction and Selection

A Data Mining Perspective

Editors: Huan Liu, Motoda, Hiroshi (Eds.)

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eBook $309.00
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  • ISBN 978-1-4615-5725-8
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Softcover $399.00
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  • ISBN 978-1-4613-7622-4
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About this book

There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation. This book is part of our endeavor to produce a contemporary overview of modern solutions, to create synergy among these seemingly different branches, and to pave the way for developing meta-systems and novel approaches. Even with today's advanced computer technologies, discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Feature extraction, construction and selection are a set of techniques that transform and simplify data so as to make data mining tasks easier. Feature construction and selection can be viewed as two sides of the representation problem.

Table of contents (24 chapters)

  • Less Is More

    Liu, Huan (et al.)

    Pages 3-12

  • Feature Weighting for Lazy Learning Algorithms

    Aha, David W.

    Pages 13-32

  • The Wrapper Approach

    Kohavi, Ron (et al.)

    Pages 33-50

  • Data-Driven Constructive Induction: Methodology and Applications

    Bloedorn, Eric (et al.)

    Pages 51-68

  • Selecting Features by Vertical Compactness of Data

    Wang, Ke (et al.)

    Pages 71-84

Buy this book

eBook $309.00
price for USA (gross)
  • ISBN 978-1-4615-5725-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $399.00
price for USA
  • ISBN 978-0-7923-8196-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $399.00
price for USA
  • ISBN 978-1-4613-7622-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Feature Extraction, Construction and Selection
Book Subtitle
A Data Mining Perspective
Editors
  • Huan Liu
  • Hiroshi Motoda
Series Title
The Springer International Series in Engineering and Computer Science
Series Volume
453
Copyright
1998
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4615-5725-8
DOI
10.1007/978-1-4615-5725-8
Hardcover ISBN
978-0-7923-8196-9
Softcover ISBN
978-1-4613-7622-4
Series ISSN
0893-3405
Edition Number
1
Number of Pages
XXIV, 410
Topics