Decision Tree and Ensemble Learning Based on Ant Colony Optimization

  • Jan┬áKozak

Part of the Studies in Computational Intelligence book series (SCI, volume 781)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Jan Kozak
    Pages 1-25
  3. Adaptation of Ant Colony Optimization to Decision Trees

    1. Front Matter
      Pages 27-27
    2. Jan Kozak
      Pages 45-80
    3. Jan Kozak
      Pages 91-103
  4. Adaptation of Ant Colony Optimization to Ensemble Methods

    1. Front Matter
      Pages 105-105
    2. Jan Kozak
      Pages 107-118
    3. Jan Kozak
      Pages 119-134
    4. Jan Kozak
      Pages 157-159

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.


Computational Intelligence Machine Learning Swarm Intelligence Decision Tree Learning Ensemble Learning Ant Colony Optimization

Authors and affiliations

  • Jan┬áKozak
    • 1
  1. 1.Faculty of Informatics and Communication, Department of Knowledge EngineeringUniversity of Economics in KatowiceKatowicePoland

Bibliographic information

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