节点文献
用模式增长方法挖掘嵌入式频繁子树
Pattern Growth Method for Mining Embedded Frequent Trees
【摘要】 提出用模式增长方法在带标记有序树构成的森林中挖掘嵌入式频繁子树.算法利用最右路径扩展方法构造完整的模式增长空间,然后根据待增长模式的拓扑结构确定其增长点并构造相应投影库,从而将挖掘频繁子树问题转化为在各投影库中寻找频繁节点问题.这大大降低算法的复杂性.实验表明其具有较高的时空效率.
【Abstract】 In this paper,an efficient pattern growth algorithm for mining frequent embedded sub-trees in rooted,labeled,and ordered trees is presented.It uses rightmost path expansion schema to construct complete pattern growth space,and creats a projection database for every grow point of the tree-pattern.So the problem is transformed from mining frequent trees to finding frequent nodes in the projected database.Thus the complexity of the algorithm is considerably reduced. Experimental results show that it is efficient for both time and space.
【关键词】 数据挖掘;
频繁模式;
模式增长;
频繁子树;
【Key words】 Data Mining; Frequent Pattern; Pattern Growth; Frequent Sub-Tree;
【Key words】 Data Mining; Frequent Pattern; Pattern Growth; Frequent Sub-Tree;
【基金】 国家自然科学基金(No.60473070);国家863高技术研究发展计划基金
- 【文献出处】 模式识别与人工智能 ,Pattern Recognition and Artificial Intelligence , 编辑部邮箱 ,2006年02期
- 【分类号】TP311.13
- 【被引频次】4
- 【下载频次】50