U3 - mining unordered embedded subtrees using TMG candidate generation
In this paper we present an algorithm for mining of unordered embedded subtrees. This is an importantproblem for association rule mining from semistructured documents, and it has important applications in many biomedical, web and scientific domains. The proposed U3 algorithm is an extension of our g...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE) Computer Society
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/44704 |