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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
An IA-Based Classification Rule Mining Algorithm
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
ASCII Text
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Ziqiang Wang, Qingzhou Zhang, Dexian Zhang, "An IA-Based Classification Rule Mining Algorithm," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 3, pp. 309-313, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.70,
author = {Ziqiang Wang and Qingzhou Zhang and Dexian Zhang},
title = {An IA-Based Classification Rule Mining Algorithm},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {3},
year = {2007},
isbn = {0-7695-2909-7},
pages = {309-313},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.70},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - An IA-Based Classification Rule Mining Algorithm
SN - 0-7695-2909-7
SP309
EP313
A1 - Ziqiang Wang,
A1 - Qingzhou Zhang,
A1 - Dexian Zhang,
PY - 2007
KW - null
VL - 3
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Ziqiang Wang, Henan University of Technology, China
Qingzhou Zhang, Henan University of Technology, China
Dexian Zhang, Henan University of Technology, China
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.
Citation:
Ziqiang Wang, Qingzhou Zhang, Dexian Zhang, "An IA-Based Classification Rule Mining Algorithm," snpd, vol. 3, pp.309-313, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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