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SpringerBriefs in Computer Science

Automatic Design of Decision-Tree Induction Algorithms

Authors: Barros, Rodrigo C., de Carvalho, André C. P. L. F., Freitas, Alex A.

  • Provides a detailed and up-to-date view on the top-down induction of decision trees
  •  Introduces a novel hyper-heuristic approach that is capable of automatically designing top-down decision-tree induction algorithms
  •  Discusses two frameworks in which the hyper-heuristic can be executed in order to generate tailor-made decision-tree induction algorithms
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eBook $39.99
price for USA (gross)
  • ISBN 978-3-319-14231-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for USA
  • ISBN 978-3-319-14230-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Presents a detailed study of the major design components that constitute a top-down decision-tree induction algorithm, including aspects such as split criteria, stopping criteria, pruning and the approaches for dealing with missing values. Whereas the strategy still employed nowadays is to use a 'generic' decision-tree induction algorithm regardless of the data, the authors argue on the benefits that a bias-fitting strategy could bring to decision-tree induction, in which the ultimate goal is the automatic generation of a decision-tree induction algorithm tailored to the application domain of interest. For such, they discuss how one can effectively discover the most suitable set of components of decision-tree induction algorithms to deal with a wide variety of applications through the paradigm of evolutionary computation, following the emergence of a novel field called hyper-heuristics.

"Automatic Design of Decision-Tree Induction Algorithms" would be highly useful for machine learning and evolutionary computation students and researchers alike.

Table of contents (7 chapters)

  • Introduction

    Barros, Rodrigo C. (et al.)

    Pages 1-5

  • Decision-Tree Induction

    Barros, Rodrigo C. (et al.)

    Pages 7-45

  • Evolutionary Algorithms and Hyper-Heuristics

    Barros, Rodrigo C. (et al.)

    Pages 47-58

  • HEAD-DT: Automatic Design of Decision-Tree Algorithms

    Barros, Rodrigo C. (et al.)

    Pages 59-76

  • HEAD-DT: Experimental Analysis

    Barros, Rodrigo C. (et al.)

    Pages 77-139

Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-3-319-14231-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for USA
  • ISBN 978-3-319-14230-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Automatic Design of Decision-Tree Induction Algorithms
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-14231-9
DOI
10.1007/978-3-319-14231-9
Softcover ISBN
978-3-319-14230-2
Series ISSN
2191-5768
Edition Number
1
Number of Pages
XII, 176
Number of Illustrations and Tables
18 b/w illustrations
Topics