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Efficient Mining of Closed Induced Ordered Subtrees in Tree-structured Databases
Hong Kong, China December 18-December 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.67Sixth IEEE International Conference o ...
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Tomonobu Ozaki, Kobe University
Takenao Ohkawa, Kobe University
In this paper, two new closed ordered subtree miners are given which are based on the breadth-first and depth-first/breadth-first enumeration strategy, respectively. Through the experiments with synthesized and real world data, we discuss the effects of the difference of the search strategies in mining closed induced ordered subtrees.
Citation:
Tomonobu Ozaki, Takenao Ohkawa, "Efficient Mining of Closed Induced Ordered Subtrees in Tree-structured Databases," icdmw, pp.279-283, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006
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