EAN: 9783319142302

SPRINGERBRIEFS IN COMPUTER SCIENCE AUTOMATIC ...

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.

Aktuelle Preise zur EAN 9783319142302

Produktinformationen zur 9783319142302