By Rodrigo C. Barros,André C.P.L.F de Carvalho,Alex A. Freitas
Presents a close examine of the foremost layout elements that represent a top-down decision-tree induction set of rules, together with points akin to cut up standards, preventing standards, pruning and the techniques for facing lacking values. while the method nonetheless hired these days is to exploit a 'generic' decision-tree induction set of rules whatever the facts, the authors argue at the advantages bias-fitting method may well carry to decision-tree induction, within which the last word target is the automated new release of a decision-tree induction set of rules adapted to the applying area of curiosity. For such, they talk about how you can successfully realize the main appropriate set of parts of decision-tree induction algorithms to accommodate a wide selection of functions throughout the paradigm of evolutionary computation, following the emergence of a unique box referred to as hyper-heuristics.
"Automatic layout of Decision-Tree Induction Algorithms" will be hugely worthy for laptop studying and evolutionary computation scholars and researchers alike.
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Extra info for Automatic Design of Decision-Tree Induction Algorithms (SpringerBriefs in Computer Science)
Automatic Design of Decision-Tree Induction Algorithms (SpringerBriefs in Computer Science) by Rodrigo C. Barros,André C.P.L.F de Carvalho,Alex A. Freitas