Automatic Design of Decision-Tree Induction Algorithms

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 �...

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Những tác giả chính:	Barros, Rodrigo C, Freitas, Alex A
Định dạng:	Sách
Ngôn ngữ:	English
Được phát hành:	Springer 2015
Những chủ đề:	Computer algorithms Decision trees Mathematical Statistical Software
Truy cập trực tuyến:	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58588
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spelling	oai:scholar.dlu.edu.vn:DLU123456789-585882023-11-11T06:16:56Z Automatic Design of Decision-Tree Induction Algorithms Barros, Rodrigo C Freitas, Alex A Computer algorithms Decision trees Mathematical Statistical Software 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. 2015-09-29T08:07:25Z 2015-09-29T08:07:25Z 2015 Book 978-3-319-14231-9 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58588 en application/pdf Springer
institution	Thư viện Trường Đại học Đà Lạt
collection	Thư viện số
language	English
topic	Computer algorithms Decision trees Mathematical Statistical Software
spellingShingle	Computer algorithms Decision trees Mathematical Statistical Software Barros, Rodrigo C Freitas, Alex A Automatic Design of Decision-Tree Induction Algorithms
description	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.
format	Book
author	Barros, Rodrigo C Freitas, Alex A
author_facet	Barros, Rodrigo C Freitas, Alex A
author_sort	Barros, Rodrigo C
title	Automatic Design of Decision-Tree Induction Algorithms
title_short	Automatic Design of Decision-Tree Induction Algorithms
title_full	Automatic Design of Decision-Tree Induction Algorithms
title_fullStr	Automatic Design of Decision-Tree Induction Algorithms
title_full_unstemmed	Automatic Design of Decision-Tree Induction Algorithms
title_sort	automatic design of decision-tree induction algorithms
publisher	Springer
publishDate	2015
url	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58588
_version_	1782546748385787904

Automatic Design of Decision-Tree Induction Algorithms

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