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Data Mining Using Grammar Based Genetic Programming and Applications 표지

Data Mining Using Grammar Based Genetic Programming and Applications

저자
Man Leung Wong, Kwong Sak Leung
출판사
Springer
출간
Mar 21, 2013
쪽수
228쪽
제본
무선(페이퍼백)
ISBN
9781475784213
상태
수량
배송

해외에서 들여옵니다. 보통 2~3주, 지금 주문하시면 11월 21일에서 11월 28일 사이 도착 예상

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"Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. The book first sets the necessary background for the readers, which includes an overview of data mining, evolutionary algorithms and inductive logic programming.

It then describes a framework, called GGP (Generic Genetic Programming), that integrates GP and ILP based on a formalism of logic grammars. The formalism is powerful enough to represent context-sensitive information and domain-dependent knowledge. This knowledge can be used to accelerate the learning speed and/or improve the quality of the knowledge induced.".

"Data Mining Using Grammar Based Genetic Programming and Applications is appropriate for researchers, practitioners and clinicians interested in genetic programming, data mining, and the extraction of data from databases."--BOOK JACKET.

다른 판

Data Mining Using Grammar Based Genetic Programming and (GENETIC PROGRAMMING Volume 3) (Genetic Programming)

Springer, 2000, 양장(하드커버), ISBN 9780792377467

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