EAN: 9783319142302

Bilder-Quelle: discount24.de - Sport-Freizeit

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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26.09.2025 um 21:41 Uhr

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