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Vol. 168, Issue 4, April 2014, pp. 53-60

 

Bullet

 

Study on the Method of Association Rules Mining Based on Genetic Algorithm
and Application in Analysis of Seawater Samples
 

1, 2 Qiuhong Sun, 1 Weihong Bi, 1, 3 Feng Wang

1 YanShan University, Qinhuangdao 066004, China
2 Hebei University of Science and Technology, Shijiazhuang 050000, China
3 E&A College, Hebei Normal University of Science & Technology, Qinhuangdao 066004, China
1 Tel.: 13832393876

E-mail: sunqiuhong@hebust.edu.cn

 

Received: 5 January 2014 /Accepted: 28 February 2014 /Published: 30 April 2014

Digital Sensors and Sensor Sysstems

 

Abstract: Based on the data mining research, the data mining based on genetic algorithm method, the genetic algorithm is briefly introduced, while the genetic algorithm based on two important theories and theoretical templates principle implicit parallelism is also discussed. Focuses on the application of genetic algorithms for association rule mining method based on association rule mining, this paper proposes a genetic algorithm fitness function structure, data encoding, such as the title of the improvement program, in particular through the early issues study, proposed the improved adaptive Pc, Pm algorithm is applied to the genetic algorithm, thereby improving efficiency of the algorithm. Finally, a genetic algorithm based association rule mining algorithm, and be applied in sea water samples database in data mining and prove its effective.

 

Keywords: Data mining, Association rules, Genetic algorithm, Fitness function, Effective.

 

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