Dimension Reduction for Supervised Ordering

I
ICDM
2006
Sixth IEEE International Conference on Data Mining (ICDM'06)
Abstract - Dimension Reduction for Supervised Ordering

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Sixth IEEE International Conference on Data Mining (ICDM'06)

Hong Kong

December 18-December 22

ISBN: 0-7695-2701-9

	ASCII Text	x
	Toshihiro Kamishima, Shotaro Akaho, "Dimension Reduction for Supervised Ordering," Data Mining, IEEE International Conference on, pp. 330-339, Sixth IEEE International Conference on Data Mining (ICDM'06), 2006.

	BibTex	x
	@article{ 10.1109/ICDM.2006.53, author = {Toshihiro Kamishima and Shotaro Akaho}, title = {Dimension Reduction for Supervised Ordering}, journal ={Data Mining, IEEE International Conference on}, volume = {0}, year = {2006}, issn = {1550-4786}, pages = {330-339}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.53}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining, IEEE International Conference on TI - Dimension Reduction for Supervised Ordering SN - 1550-4786 SP330 EP339 A1 - Toshihiro Kamishima, A1 - Shotaro Akaho, PY - 2006 KW - null VL - 0 JA - Data Mining, IEEE International Conference on ER -

Toshihiro Kamishima, National Institute of Advanced Industrial Science and Technology (AIST), Japan

Shotaro Akaho, National Institute of Advanced Industrial Science and Technology (AIST), Japan

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.53

Ordered lists of objects are widely used as representational forms. Such ordered objects include Web search results and best-seller lists. Techniques for processing such ordinal data are being developed, particularly methods for a supervised ordering task: i.e., learning functions used to sort objects from sample orders. In this article, we propose two dimension reduction methods specifically designed to improve prediction performance in a supervised ordering task.

Citation:

Toshihiro Kamishima, Shotaro Akaho, "Dimension Reduction for Supervised Ordering," icdm, pp.330-339, Sixth IEEE International Conference on Data Mining (ICDM'06), 2006

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