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Studies in Computational Intelligence

Rule Extraction from Support Vector Machines

Editors: Diederich, Joachim (Ed.)

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  • Introduces a number of different approaches to extracting rules from support vector machines developed by key researchers in the field
  • Successful applications are outlined and future research opportunities are discussed
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eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-540-75390-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
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  • Immediate eBook download after purchase
Hardcover 176,79 €
price for Spain (gross)
  • ISBN 978-3-540-75389-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 145,78 €
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  • ISBN 978-3-642-09463-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

Support vector machines (SVMs) are one of the most active research areas in machine learning. SVMs have shown good performance in a number of applications, including text and image classification. However, the learning capability of SVMs comes at a cost – an inherent inability to explain in a comprehensible form, the process by which a learning result was reached. Hence, the situation is similar to neural networks, where the apparent lack of an explanation capability has led to various approaches aiming at extracting symbolic rules from neural networks. For SVMs to gain a wider degree of acceptance in fields such as medical diagnosis and security sensitive areas, it is desirable to offer an explanation capability. User explanation is often a legal requirement, because it is necessary to explain how a decision was reached or why it was made.

This book provides an overview of the field and introduces a number of different approaches to extracting rules from support vector machines developed by key researchers. In addition, successful applications are outlined and future research opportunities are discussed. The book is an important reference for researchers and graduate students, and since it provides an introduction to the topic, it will be important in the classroom as well. Because of the significance of both SVMs and user explanation, the book is of relevance to data mining practitioners and data analysts.

Table of contents (10 chapters)

Table of contents (10 chapters)

Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-540-75390-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 176,79 €
price for Spain (gross)
  • ISBN 978-3-540-75389-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 145,78 €
price for Spain (gross)
  • ISBN 978-3-642-09463-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Rule Extraction from Support Vector Machines
Editors
  • Joachim Diederich
Series Title
Studies in Computational Intelligence
Series Volume
80
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-75390-2
DOI
10.1007/978-3-540-75390-2
Hardcover ISBN
978-3-540-75389-6
Softcover ISBN
978-3-642-09463-7
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XII, 262
Number of Illustrations
55 b/w illustrations
Topics