Research Based on Aprior & FP-growth Algorithm
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    Abstract:

    Mining of association rules in data mining plays an important role, Apriori algorithm and FP-growth algorithm are the two major association rules frequent itemsets discovery algorithm.study of the two kinds of the basic idea of the algorithm, points out the advantages and disadvantages of the algorithm through specific examples of frequent itemsets found method, finally through the experiment to the algorithm for the performance comparison.

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晏杰,亓文娟.基于Aprior & FP-growth算法的研究.计算机系统应用,2013,22(5):122-125

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  • Received:October 24,2012
  • Revised:November 28,2012
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