Data Mining Using Grammar Based Genetic Programming and Applications



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Éditeur :

Kluwer Academic Publishers


Paru le : 2000



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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. 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. A grammar-based genetic programming system called LOGENPRO (The LOGic grammar based GENetic PROgramming system) is detailed and tested on many problems in data mining. It is found that LOGENPRO outperforms some ILP systems. The text also illustrates how to apply LOGENPRO to emulate Automatically Defined Functions (ADFs) to discover problem representation primitives automatically.
Pages
n.c
Collection
n.c
Parution
2000
Marque
Kluwer Academic Publishers
EAN papier
0306470128
EAN PDF
0306470128

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
1445 Ko
Prix
172,44 €

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