Title

Data mining using grammar based genetic programming and applications

Document Type

Book

Publication Date

1-1-2000

Publisher

Kluwer Academic

Abstract

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. This book first sets the necessary backgrounds for the reader, including 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.

ISBN

9780792377467

Publisher Statement

Copyright © 2000 by Kluwer Academic Publishers. All rights reserved.

Language

English

Recommended Citation

Wong, M. L., & Leung, K. S. (2000). Data mining using grammar based genetic programming and applications. Boston: Kluwer Academic.

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