计算机应用 ›› 2005, Vol. 25 ›› Issue (06): 1385-1387.DOI: 10.3724/SP.J.1087.2005.1385

• 数据库与数据挖掘 • 上一篇    下一篇

基于逆向FP-树的频繁模式挖掘算法

赵艳铎,宋斌恒   

  1. 清华大学软件学院
  • 出版日期:2005-06-01 发布日期:2011-04-06

Algorithm for mining frequent patterns based on converse FP-tree

ZHAO Yan-duo, SONG Bin-heng   

  1. School of Software, Tsinghua University, Beijing 100084, China
  • Online:2005-06-01 Published:2011-04-06

摘要: 提出了一种称为逆向FP 合并的算法,该算法逆向构造FP 树并通过在其中寻找频繁扩展项集与合并子树来挖掘频繁模式。新算法在时空效率方面均优于FP 增长算法,其中时间效率提高了2倍以上。此外,新算法还具有良好的伸缩性。

关键词: 数据挖掘, 频繁模式, 逆向FP-树, 逆向FP-合并算法, 频繁扩展项

Abstract: It proposed an algorithm for mining frequent patterns by finding the frequent extensions and merging sub-trees in a conversely constructed FP-tree. The performance of the algorithm is superior to the one of FP-Growth both in time and space consuming. It runs over two times faster than the FP-Growth and has a good scalability.

Key words: data mining, frequent pattern, conversed FP-tree, conversed FP-merging algorithm, frequent extension item

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