Titlebook: Evolutionary Decision Trees in Large-Scale Data Mining; Marek Kretowski Book 2019 Springer Nature Switzerland AG 2019 Evolutionary Computa

LUDE

Evaporation into the Atmosphereeated as equal whenever available. In real-world applications in medicine or business, such an idealization is not always possible. Often, a cost-sensitive prediction is desirable, and it should account for various cost types, starting with the asymmetric costs (losses) associated with predictive errors.

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Book 2019 regression trees from data. The resulting univariate or oblique trees are significantly smaller than those produced by standard top-down methods, an aspect that is critical for the interpretation of mined patterns by domain analysts. The approach presented here is extremely flexible and can easily

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2197-6503 from three domains are discussed, all of which are necessary.This book presents a unified framework, based on specialized evolutionary algorithms, for the global induction of various types of classification and regression trees from data. The resulting univariate or oblique trees are significantly s

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https://doi.org/10.1007/978-1-137-06334-2rview of this wide area of research. The most important information about decision trees is provided, and this subjective selection is intended to be helpful in understanding the proposed global approach. Finally, the related works on applying evolutionary computation in decision trees are studied.

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