DocumentCode
3229384
Title
An IA-Based Classification Rule Mining Algorithm
Author
Wang, Ziqiang ; Zhang, Qingzhou ; Zhang, Dexian
Author_Institution
Henan Univ. of Technol., Zhengzhou
Volume
3
fYear
2007
fDate
July 30 2007-Aug. 1 2007
Firstpage
309
Lastpage
313
Abstract
This paper describes a novel immune algorithm (IA) for data mining, the goal of the novel algorithm is to extract classification rules from data in database. This algorithm is inspired by the theory of immunity in biology which mainly constructs an immune operator accomplished by two steps: 1) a vaccination and 2) an immune selection. Experimental results demonstrate the effectiveness of immune algorithm on three UCI benchmark data sets.
Keywords
data mining; database management systems; knowledge based systems; classification rule; database; immune algorithm; rule mining; Artificial intelligence; Classification algorithms; Data mining; Databases; Distributed computing; Immune system; Machine learning; Machine learning algorithms; Software algorithms; Software engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location
Qingdao
Print_ISBN
978-0-7695-2909-7
Type
conf
DOI
10.1109/SNPD.2007.70
Filename
4287869
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