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The Research of Improved Apriori Algorithm

In: Liss 2012

Author

Listed:
  • Bi Xujing

    (Beijing Jiaotong University)

  • Xu Weixiang

    (Beijing Jiaotong University)

Abstract

According to the weakness of Apriori algorithm, such as too many scans of the database and vast candidate itemsets, this chapter proposes an improved Apriori algorithm which scans the database only once by using arrays to store data. In addition, the new algorithm sorts the frequent itemsets from small to large according to their supports before they are connected, so as to optimize the connection strategy and eliminate redundant candidate itemsets as far as possible. Experimental result shows that the algorithm can save memory space and improve the efficiency of the algorithm.

Suggested Citation

  • Bi Xujing & Xu Weixiang, 2013. "The Research of Improved Apriori Algorithm," Springer Books, in: Zhenji Zhang & Runtong Zhang & Juliang Zhang (ed.), Liss 2012, edition 127, pages 1007-1012, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-32054-5_141
    DOI: 10.1007/978-3-642-32054-5_141
    as

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