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portada Automatic Design of Decision-Tree Induction Algorithms (Springerbriefs in Computer Science)
Type
Physical Book
Publisher
Author
Year
2015
Language
English
Pages
190
Format
Paperback
ISBN13
9783319142302
Edition No.
2015
Categories

Automatic Design of Decision-Tree Induction Algorithms (Springerbriefs in Computer Science)

Rodrigo C. Barros; André C. P. L. F. De Carvalho; Alex A. Freitas (Author) · Springer · Paperback

Automatic Design of Decision-Tree Induction Algorithms (Springerbriefs in Computer Science) - Rodrigo C. Barros; André C. P. L. F. De Carvalho; Alex A. Freitas

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Synopsis "Automatic Design of Decision-Tree Induction Algorithms (Springerbriefs in Computer Science) "

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.

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