Tag Archives: Automatic Design of Decision-Tree Induction Algorithms (SpringerBriefs in Computer Science) (by Alex A. Freitas

Automatic Design of Decision-Tree Induction Algorithms (SpringerBriefs in Computer Science) (by Alex A. Freitas, Rodrigo C. Barros, André C. P. L. F. de Carvalho)


Author(s): Alex A. Freitas, Rodrigo C. Barros, André C. P. L. F. de Carvalho

Publisher: Springer
Publish date: 2015-02-04
ISBN-10: 3319142305
ISBN-13: 9783319142302
Language: English
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… more…

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