Automatic Design of Decision-Tree Induction Algorithms (SpringerBriefs in Computer Science) - Tapa blanda

Libro 171 de 322: SpringerBriefs in Computer Science

Barros, Rodrigo C. C.; De Carvalho, André C.P.L.F; Freitas, Alex A.

 
9783319142302: Automatic Design of Decision-Tree Induction Algorithms (SpringerBriefs in Computer Science)
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ISBN 10: 3319142305 ISBN 13: 9783319142302
Editorial: Springer, 2015

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2015
Idioma
Inglés
ISBN 10 
3319142305
ISBN 13 
9783319142302
Encuadernación
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Número de páginas
188
Contacto del fabricante
no disponible
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Otras ediciones populares con el mismo título

9783319142326: Automatic Design of Decision-Tree Induction Algorithms

Edición Destacada

ISBN 10:  3319142321 ISBN 13:  9783319142326
Editorial: Springer, 2015
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