Association rules mining based on the improved immune algorithm

Authors:
Yongqiang Zhang;Shuyang Bu;Yongjian Zhang
Affiliations:
Hebei University of Engineering, Handan, China;College of Information and Electrical Engineering, Hebei University of Engineering, Handan, China;College of Information and Electrical Engineering, Hebei University of Engineering, Handan, China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

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Abstract

Firstly, in this paper we propose an improved immune algorithm, that is, introduce the Metropolis criterion into the selection operation of immune algorithm, and the Metropolis immune algorithm (MIA) is formed, then we carry out the theoretical analysis and experimental simulation aiming at the performance of the MIA; Secondly, we use this algorithm to excavate association rules, and propose a new algorithm of association rule mining, then we can verify that the algorithm is feasible and effective through theoretical analysis and experimental results.