The Attribute Selection Method Based on PSO

In order to reduce the instances influence, PSO-based attribute selection method is proposed in this paper. This method mainly use PSO algorithm to solve the optimal entropy of instances and obtain the corresponding attribute threshold value. According to the threshold, the attribute priority is det...

Full description

Saved in:
Bibliographic Details
Published inApplied Mechanics and Materials Vol. 44-47; pp. 3284 - 3288
Main Authors Jiang, Hua, Li, Jun Qing, Zheng, Li Ping
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.01.2011
Subjects
Information Gain
Ontology
Attribute Priority
Particle Swarm Optimization Algorithm (PSO)
Online AccessGet full text
ISBN3037850043
9783037850046
ISSN1660-9336
1662-7482
1662-7482
DOI10.4028/www.scientific.net/AMM.44-47.3284

Cover

More Information
Summary:In order to reduce the instances influence, PSO-based attribute selection method is proposed in this paper. This method mainly use PSO algorithm to solve the optimal entropy of instances and obtain the corresponding attribute threshold value. According to the threshold, the attribute priority is determined. At last, selecting attribute according to priority. In experiment, specify the concept attribute priority in ontolgoy and verify the algorithm performance. Experimental results show that this algorithm reduces the dependency to instances and improve the accuracy. Otherwise, the computation quantity is reduced.
Bibliography:Selected, peer reviewed papers from the 2010 International Conference on Frontiers of Manufacturing and Design Science (ICFMD 2010), Chonqqing, China, December 11-12, 2010
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISBN:3037850043
9783037850046
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.44-47.3284