Title :
An IA-Based Classification Rule Mining Algorithm
Author :
Wang, Ziqiang ; Zhang, Qingzhou ; Zhang, Dexian
Author_Institution :
Henan Univ. of Technol., Zhengzhou
fDate :
July 30 2007-Aug. 1 2007
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;
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
DOI :
10.1109/SNPD.2007.70
