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Studies in Computational Intelligence

Decision Tree and Ensemble Learning Based on Ant Colony Optimization

Authors: Kozak, Jan

  • Focuses on decision trees and ensemble learning based on ant colony optimization
  • Combines important topics in the area of machine learning and combinatorial optimization into one
  • Provides the combination of a research monograph and a textbook, which can be used in graduate courses, but is also of interest to researchers
  • Includes an introduction to machine learning and swarm intelligence
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eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-93752-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-93751-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book not only discusses the important topics in the area of machine learning and combinatorial optimization, it also combines them into one. This was decisive for choosing the material to be included in the book and determining its order of presentation.

Decision trees are a popular method of classification as well as of knowledge representation. At the same time, they are easy to implement as the building blocks of an ensemble of classifiers. Admittedly, however, the task of constructing a near-optimal decision tree is a very complex process.

The good results typically achieved by the ant colony optimization algorithms when dealing with combinatorial optimization problems suggest the possibility of also using that approach for effectively constructing decision trees. The underlying rationale is that both problem classes can be presented as graphs. This fact leads to option of considering a larger spectrum of solutions than those based on the heuristic. Moreover, ant colony optimization algorithms can be used to advantage when building ensembles of classifiers.

This book is a combination of a research monograph and a textbook. It can be used in graduate courses, but is also of interest to researchers, both specialists in machine learning and those applying machine learning methods to cope with problems from any field of R&D.

About the authors

Jan Kozak, University of Economics in Katowice, Faculty of Informatics and Communication, Department of Knowledge Engineering, Katowice, Poland.

Table of contents (9 chapters)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-93752-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-93751-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Decision Tree and Ensemble Learning Based on Ant Colony Optimization
Authors
Series Title
Studies in Computational Intelligence
Series Volume
781
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-93752-6
DOI
10.1007/978-3-319-93752-6
Hardcover ISBN
978-3-319-93751-9
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XI, 159
Number of Illustrations
44 b/w illustrations
Topics