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Studies in Computational Intelligence

Inhibitory Rules in Data Analysis

A Rough Set Approach

Authors: Delimata, Pawel, Moshkov, Mikhail Ju., Suraj, Zbigniew

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  • The state-of-the-art of inhibitory rules in data analysis and rough sets

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  • ISBN 978-3-540-85638-2
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Hardcover $179.99
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Softcover $209.00
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  • ISBN 978-3-642-09927-4
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About this book

This monograph is devoted to theoretical and experimental study of inhibitory decision and association rules. Inhibitory rules contain on the right-hand side a relation of the kind "attribut does not equal value". The use of inhibitory rules instead of deterministic (standard) ones allows us to describe more completely information encoded in decision or information systems and to design classifiers of high quality.

The most important feature of this monograph is that it includes an advanced mathematical analysis of problems on inhibitory rules. We consider algorithms for construction of inhibitory rules, bounds on minimal complexity of inhibitory rules, and algorithms for construction of the set of all minimal inhibitory rules.We also discuss results of experiments with standard and lazy classifiers based on inhibitory rules. These results show that inhibitory decision and association rules can be used in data mining and knowledge discovery both for knowledge representation and for prediction. Inhibitory rules can be also used under the analysis and design of concurrent systems.

The results obtained in the monograph can be useful for researchers in such areas as machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, test theory, and logical analysis of data (LAD). The monograph can be used under the creation of courses for graduate students and for Ph.D. studies.

Reviews

From the reviews:

"This monograph is devoted to the theoretical and experimental study of decision and association rules. The most interesting part of the book is that it discusses an advanced mathematical analysis of problems and its rules. … I am sure that this book will be very useful to researchers in the area of data mining and the analysis and design of concurrent systems. It will be useful for PhD students in their very first year of study." (Prabhat Kumar Mahanti, Zentralblatt MATH, Vol. 1157, 2009)


Table of contents (9 chapters)

Table of contents (9 chapters)

Buy this book

eBook $139.00
price for USA in USD
  • ISBN 978-3-540-85638-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-540-85637-5
  • 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
Softcover $209.00
price for USA in USD
  • ISBN 978-3-642-09927-4
  • 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
Inhibitory Rules in Data Analysis
Book Subtitle
A Rough Set Approach
Authors
Series Title
Studies in Computational Intelligence
Series Volume
163
Copyright
2009
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-85638-2
DOI
10.1007/978-3-540-85638-2
Hardcover ISBN
978-3-540-85637-5
Softcover ISBN
978-3-642-09927-4
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XII, 116
Number of Illustrations
1 b/w illustrations
Topics