Data mining involves the nontrivial 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 contextsensitive information and domaindependent knowledge. This knowledge can be used to accelerate the learning speed an

Authors: Wong M.L., Cheung K.S.  Pages: 228 Year: 2002 
Tags: applications grammar programming cheung mining genetic wong   Customers who bought this item also bought: 