Integrating Multiple Knowledge Sources by Genetic Programming

Author

Kuo, Chan-Sheng ; Hong, Tzung-Pei ; Chen, Chuen-Lung

Author_Institution

Nat. Chengchi Univ., Taipei

Volume

2

fYear

2007

fDate

26-28 Nov. 2007

Firstpage

609

Lastpage

612

Abstract

In this paper, we have proposed a GP-based knowledge-integration framework that automatically combines multiple rule sets into one integrated knowledge base. The proposed framework consists of three phases: knowledge collection and translation, knowledge integration, and knowledge output. Two new genetic operators, abridgement and compromise, are designed in the proposed approach. Experimental results from diagnosis of breast cancer also show the feasibility of the proposed algorithm.

Keywords

genetic algorithms; knowledge based systems; mathematical operators; pattern classification; trees (mathematics); GP-based knowledge-integration framework; abridgement genetic operator; classification tree; compromise genetic operator; genetic programming; integrated knowledge base; knowledge collection; knowledge output; knowledge sources; knowledge translation; multiple rule sets; Breast cancer; Classification tree analysis; Data mining; Genetic mutations; Genetic programming; Knowledge acquisition; Knowledge management; Management information systems; Performance evaluation; Tree data structures;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on

Conference_Location

Kaohsiung

Print_ISBN

978-0-7695-2994-1

Type

conf

DOI

10.1109/IIH-MSP.2007.216

Filename

4457783