摘要

In order to discover the associated relation between state variables and operating conditions of LRE test-bed, the association rules are mined from historical test data of test-bed. The state parameters of test-bed are elected and encoded. The test data are discretized by using an adapting threshold algorithm. The pattern matrix is introduced to calculate the frequent item set in the transaction database, and a method for mining association rules based on pattern matrix is presented. this method was applied in mining frequent item set from several historical test sample and the result is analyzed. The result shows that compared with traditional methods, the method in this paper is efficient and has smaller computational effort. The mining result can reflect the association rules between state variables and operating conditions of test-bed correctly. The method in this paper is validated to mine test-data of LRE test-bed.

  • 出版日期2011

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