Study on the Data Mining Algorithm Based on Positive and Negative Association Rules


  •  Jingrong Yang    
  •  Chunyu Zhao    

Abstract

In this article, we systematically, deeply and comprehensively analyzed and studied the association rule data mining technology, and induced, analyzed and researched the typical mining algorithms of association rule and their basic principles, and objectively compare the differences among various algorithms. We used to correlation to measure the relations among item sets, and gave the computations of support level and confidence level of negative association rule based on traditional association rules, and analyzed and researched the operation principle and implementation approaches of this algorithm. Through the demonstration test of the algorithm, the results indicated that the algorithm was effective.



This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1913-8989
  • ISSN(Online): 1913-8997
  • Started: 2008
  • Frequency: quarterly

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