U3 - mining unordered embedded subtrees using TMG candidate generation

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...

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Bibliographic Details
Main Authors: Hadzic, Fedja, Tan, Henry, Dillon, Tharam S.
Other Authors: Chengqi Zhang
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers (IEEE) Computer Society 2008
Online Access:http://hdl.handle.net/20.500.11937/44704

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