计算机科学 ›› 2009, Vol. 36 ›› Issue (7): 208-210.doi: 10.11896/j.issn.1002-137X.2009.07.050

• 人工智能 • 上一篇    下一篇

一种基于FP阵列技术的频繁模式挖掘算法

谭军,卜英勇,杨勃   

  1. (中南林业科技大学计算机学院 长沙412006);(中南大学机电工程学院 长沙410083)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金项目(50474052)资助。

FP-array-based Improved FP-growth Algorithm

TAN Jun,BU Ying-yong,YANG Bo   

  • Online:2018-11-16 Published:2018-11-16

摘要: 在FP-growth算法中,为了产生条件FP树,必须扫描冲树两次。提出一种新颖的FP阵列技术,将FP-tree数据结构与FP阵列有效地结合起来,直接从FP阵列得到频繁项的计数,从而省略了第一次扫描,节省了时间。尤其对于稀疏数据库,该算法在执行时间上比原FP-growth算法具有更优的性能。

关键词: 频繁模式增长算法,频繁模式树,稀疏数据库,FP阵列

Abstract: In FP-growth algorithm, two traversals of FP-tree are needed for constructing the new conditional FP-tree. A novel FP-array technique was presented that greatly reduced the need to traverse FP-trees. A improved FP-growth algorithm was presented which uses the FP-tree data structure in combination with the FP-array technique efficiently. Experimental results show that the new algorithm works especially well for sparse datasets.

Key words: FP-growth algorithm, FP-tree, Sparse databases, FP-array

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