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基于逆向FP-树的频繁模式挖掘算法
Algorithm for mining frequent patterns based on converse FP-tree
【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。
【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.
【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;
【Key words】 data mining; frequent pattern; conversed FP-tree; conversed FP-merging algorithm; frequent extension item;
【Key words】 data mining; frequent pattern; conversed FP-tree; conversed FP-merging algorithm; frequent extension item;
- 【文献出处】 计算机应用 ,Computer Applications , 编辑部邮箱 ,2005年06期
- 【分类号】TP311.13
- 【被引频次】18
- 【下载频次】172