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Mining unordered trees are very useful in domains like XML date, biological information, Web structure, etc. In this paper, we introduce an efficient algorithm UTMiner (unordered trees miner). As the trees are unordered, in order to avoid mining the same subtrees, an efficient unordered trees standardization is first introduced to transform the unordered trees into the standard subtrees. Then UTMiner...
The concept lattice, the core data structure in the formal concept analysis, has been used widely in machine learning, data mining, etc. In the formal concept analysis, researching on constructing the concept lattice efficiently is one of the important contents. This paper presents a new algorithm called IETreeCS (Concept Sets based on Intension and Extension Tree) based on the IE-Tree (Intension...
Induced subtrees mining is of important researching value in the fields of XML documents, bioinformatics, web log and so forth. In this paper, the two conceptions of subtree vector and pruning threshold are proposed, and an algorithm ITMSV (induced subtrees mining based on subtree vector) is presented to discover frequent induced subtrees quickly by taking full advantages of the features of subtree...
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