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

نویسندگان

  • Qiuhong Sun
  • Weihong Bi
  • Feng Wang
چکیده

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. Copyright © 2014 IFSA Publishing, S. L.

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تاریخ انتشار 2014