Studies in Big Data

Rule Based Systems for Big Data

A Machine Learning Approach

Authors: Liu, Han, Gegov, Alexander, Cocea, Mihaela

  • Presents a novel theory of rule based systems in machine learning context
  • Introduces ways of big data processing by rule learning algorithms for knowledge discovery and predictive modelling in classification tasks
  • Focuses on introducing effective ways to address the issues relating to predictive accuracy, computational complexity and interpretability of rule based systems for classification
  • Some popular methods and techniques, which can be used as components of the framework, are described and justified in detail
  • Explores explicitly the connections between rule based systems and machine learning in a conceptual context
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eBook £55.99
price for United Kingdom (gross)
  • ISBN 978-3-319-23696-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover £84.99
price for United Kingdom (gross)
  • ISBN 978-3-319-23695-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover £69.99
price for United Kingdom (gross)
  • ISBN 978-3-319-37027-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data.

The book focuses on the development and evaluation of rule based systems in terms of accuracy, efficiency and interpretability. In particular, a unified framework for building rule based systems, which consists of the operations of rule generation, rule simplification and rule representation, is presented. Each of these operations is detailed using specific methods or techniques. In addition, this book also presents some ensemble learning frameworks for building ensemble rule based systems.

Reviews

“The text is easily readable and nicely organized, deploying gradually the most important aspects encountered in the theory and practice of rule-based systems. … the book is recommended to researchers and practitioners who wish to apply sound methods for understanding and exploiting their big data, and for those who plan to direct their research toward rule-based methodologies.” (Lefteris Angelis, Computing Reviews, computingreviews.com, May, 2016)


Table of contents (9 chapters)

Buy this book

eBook £55.99
price for United Kingdom (gross)
  • ISBN 978-3-319-23696-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover £84.99
price for United Kingdom (gross)
  • ISBN 978-3-319-23695-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover £69.99
price for United Kingdom (gross)
  • ISBN 978-3-319-37027-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Rule Based Systems for Big Data
Book Subtitle
A Machine Learning Approach
Authors
Series Title
Studies in Big Data
Series Volume
13
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-23696-4
DOI
10.1007/978-3-319-23696-4
Hardcover ISBN
978-3-319-23695-7
Softcover ISBN
978-3-319-37027-9
Series ISSN
2197-6503
Edition Number
1
Number of Pages
XIII, 121
Number of Illustrations and Tables
33 b/w illustrations, 5 illustrations in colour
Topics