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Decision Tree Construction from Multidimensional Structured Data

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.57

Sixth IEEE International Conference o ...

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	ASCII Text	x
	Tomoki Watanuma, Tomonobu Ozaki, Takenao Ohkawa, "Decision Tree Construction from Multidimensional Structured Data," Data Mining Workshops, International Conference on, vol. 0, no. 0, pp. 237-241, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006.

	BibTex	x
	@article{ 10.1109/ICDMW.2006.57, author = {Tomoki Watanuma and Tomonobu Ozaki and Takenao Ohkawa}, title = {Decision Tree Construction from Multidimensional Structured Data}, journal ={Data Mining Workshops, International Conference on}, volume = {0}, year = {2006}, isbn = {}, pages = {237-241}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.57}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining Workshops, International Conference on TI - Decision Tree Construction from Multidimensional Structured Data SN - SP237 EP241 A1 - Tomoki Watanuma, A1 - Tomonobu Ozaki, A1 - Takenao Ohkawa, PY - 2006 KW - null VL - 0 JA - Data Mining Workshops, International Conference on ER -

Tomoki Watanuma, Kobe University

Tomonobu Ozaki, Kobe University

Takenao Ohkawa, Kobe University

Since most structured data mining techniques specialize in mining from single structured data, it cannot handle more realistic data which consist of different and plural kinds of structured data. To cope with this problem, we propose an algorithm for constructing decision trees from multidimensional structured data by introducing the techniques for mining correlated and closed patterns with effective pruning capabilities into the traditional TDIDT approach. The results of the experiments with real world data show the effectiveness of the proposed algorithm.

Citation:

Tomoki Watanuma, Tomonobu Ozaki, Takenao Ohkawa, "Decision Tree Construction from Multidimensional Structured Data," icdmw,pp.237-241, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006

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