DocumentCode
501172
Title
Research on Classification Rule Based on Backtracking Ant Colony Algorithm
Author
Zhipeng, Wang ; Jinguang, Sun ; Da, Yin
Author_Institution
Sch. of Economic Inf. Eng., Liaoning Tech. Univ., Huludao, China
Volume
2
fYear
2009
fDate
15-17 May 2009
Firstpage
228
Lastpage
231
Abstract
Research on the technology of classification the rules of current data mining. Because of accuracy and validity of the classification rules meet, this paper brings up a new algorithm for classification rules: classification rule based on backtracking ant colony algorithm. The core of the algorithm is: the project ant crawl forward, at the same time the backtracking ants crawl backward. If the backtracking ants find better rule, the project ant go back to the last better attribute node, then research. This paper realizate a test system, and prove that use the algorithm of classification rules can make classification more accurate.
Keywords
data mining; optimisation; pattern classification; backtracking ant colony algorithm; classification rule algorithm; data mining; Classification algorithms; Computational modeling; Data engineering; Data mining; Inference algorithms; Information analysis; Information technology; Machine learning algorithms; Sun; System testing; backtracking ant volony algorithm; classification rule; data mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-3600-2
Type
conf
DOI
10.1109/IFITA.2009.355
Filename
5231230
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