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| Pattern Growth Method for Mining Embedded Frequent Trees |
| MA HaiBing1,2, LI RongLu1, HU YunFa1 |
1.Department of Computer and Information Technology, Fudan University, Shanghai 200433
2.Shanghai Branch of PLA Nanjing Political College, Shanghai 200433 |
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Abstract In this paper, an efficient pattern growth algorithm for mining frequent embedded subtrees 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 treepattern. 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.
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Received: 13 September 2004
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2006, Vol. 19 
