Start Submission Become a Reviewer

Reading: Rules Extraction with an Immune Algorithm

Download

A- A+
dyslexia friendly

Research Papers

Rules Extraction with an Immune Algorithm

Authors:

Deqin Yan ,

Department of Computer Science, Liaoning Normal University, Dalian 116029
X close

Liping Zhang

Department of Computer Science, Liaoning Normal University, Dalian 116029
X close

Abstract


In this paper, a method of extracting rules with immune algorithms from information systems is proposed. Designing an immune algorithm is based on a sharing mechanism to extract rules. The principle of sharing and competing resources in the sharing mechanism is consistent with the relationship of sharing and rivalry among rules. In order to extract rules efficiently, a new concept of flexible confidence and rule measurement is introduced. Experiments demonstrate that the proposed method is effective.

 
 
DOI: http://doi.org/10.2481/dsj.6.S824
How to Cite: Yan, D. & Zhang, L., (2007). Rules Extraction with an Immune Algorithm. Data Science Journal. 6, pp.S824–S830. DOI: http://doi.org/10.2481/dsj.6.S824
2
Downloads
Published on 01 Dec 2007.
Peer Reviewed

Downloads

  • PDF (EN)

    comments powered by Disqus