Automatic Design of Decision Tree Induction Algorithms Book [PDF] Download

Download the fantastic book titled Automatic Design of Decision Tree Induction Algorithms written by Rodrigo C. Barros, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Automatic Design of Decision Tree Induction Algorithms", which was released on 04 February 2015. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Automatic Design of Decision Tree Induction Algorithms by Rodrigo C. Barros PDF

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.


Detail About Automatic Design of Decision Tree Induction Algorithms PDF

  • Author : Rodrigo C. Barros
  • Publisher : Springer
  • Genre : Computers
  • Total Pages : 184 pages
  • ISBN : 3319142313
  • PDF File Size : 33,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Automatic Design of Decision-Tree Induction Algorithms

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  • File Size : 53,6 Mb
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