Data mining using grammar based genetic programming and applications
By: by Man Leung Wong, Kwong Sak Leung.
Contributors: Leung, Kwong Sak, 1955-
Series: Genetic programming series ;; GPEM3; Genetic programming series ;; GPEM 03.
Publisher: Kluwer Academic
Published: 2000
Place of publication: Boston
Language: eng
Number of pages: 213
Subjects: Data mining.; Genetic programming (Computer science)
Description: "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.
Notes: Includes bibliographical references (p. [199]-210) and index.