Enterprise Human Resources Information Mining Based on Improved Apriori Algorithm

نویسندگان

  • Lei He
  • Jiaxin Qi
چکیده

With the unceasing development of information and technology in today’s modern society, enterprises’ demand of human resources information mining is getting bigger and bigger. Based on the enterprise human resources information mining situation, this paper puts forward a kind of improved Apriori algorithm based model on the enterprise human resources information mining, this model introduced data mining technology and traditional Apriori algorithm, and improved on its basis, divided the association rules mining task of the original algorithm into two subtasks of producing frequent item sets and producing rule, using SQL technology to directly generating frequent item sets, and using the method of establishing chart to extract the information which are interested to customers. The experimental results show that the improved Apriori algorithm based model on the enterprise human resources information mining is better in efficiency than the original algorithm, and the practical application test results show that the improved algorithm is practical and effective.

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عنوان ژورنال:
  • JNW

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2013