Sixth International Conference on Data Mining (ICDM'06) (2006)
Dec. 18, 2006 to Dec. 22, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.53
Toshihiro Kamishima , National Institute of Advanced Industrial Science and Technology (AIST), Japan
Shotaro Akaho , National Institute of Advanced Industrial Science and Technology (AIST), Japan
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.
T. Kamishima and S. Akaho, "Dimension Reduction for Supervised Ordering," Sixth International Conference on Data Mining (ICDM'06)(ICDM), Hong Kong, 2006, pp. 330-339.