Automatic Design Of Decision Tree Induction Algorithms(1st Edition)
Authors:
Rodrigo C. Barros ,Andre C.P.L.F De Carvalho ,Alex A. Freitas
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ISBN: 3319142305, 978-3319142302
Book publisher: Springer
Automatic Design Of Decision Tree Induction Algorithms 1st Edition Summary: 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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