›› 2012, Vol. 25 ›› Issue (5): 126-.

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Improved Association Rule Mining Algorithm Based on Two Matrixes

 CAO Feng-Hua   

  1. (School of Computer Information Management,Inner Mongolia Finance and Economics College,Hohhot 010070,China)
  • Online:2012-05-15 Published:2012-05-24

Abstract:

Apriori and its improved algorithms can be generally classified into two kinds:SQL-based and on memory-based.In order to improve association rule mining efficiency,after analyzing the efficiency bottlenecks in some algorithms of the second class,an improved efficient algorithm is proposed.Two matrixes are introduced into the algorithm:one is used to map database and the other to store frequent 2-itemsets related information.Through the operation of two matrixes,its time complexity and space complexity decrease significantly.The experiment indicates that the method has better performance.

Key words: data mining;transaction matrix;support matrix;inner product;prune

CLC Number: 

  • TP301.6