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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Peixiang Zhao Yu, J.X. |
| Copyright Year | 2006 |
| Description | Author affiliation: Chinese Univ. of Hong Kong (Peixiang Zhao; Yu, J.X.) |
| Abstract | Free tree, as a special graph which is connected, undirected and acyclic, is extensively used in domains such as computational biology, pattern recognition, computer networks, XML databases, etc. In this paper, we present a computationally efficient algorithm F3TM (fast frequent free tree mining) to discover all frequent free trees in a graph database. We focus ourselves on how to reduce the cost of candidate generation and minimize the number of candidates being generated. We prove a theorem that the completeness of frequent free trees can be guaranteed by growing vertices from a limited range of vertices in a free tree. Two pruning techniques, automorphism-based pruning and pruning based on canonical mapping are proposed which significantly reduce the cost of candidate generation. We conducted experimental studies on a real application dataset and we show that our F3TM outperforms the up-to-date algorithms by an order of magnitude |
| Sponsorship | IEEE CPS |
| Starting Page | 315 |
| Ending Page | 319 |
| File Size | 226873 |
| Page Count | 5 |
| File Format | |
| ISBN | 0769527027 |
| DOI | 10.1109/ICDMW.2006.79 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-12-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Costs Chemistry Tree graphs Databases XML Frequency Computer networks Pattern recognition Data mining Computational biology |
| Content Type | Text |
| Resource Type | Article |
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