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Supervised Ordering — An Empirical Survey
Houston, Texas November 27-November 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2005.138Fifth IEEE International Conference o ...
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Toshihiro Kamishima, National Institute of Advanced Industrial Science and Technology
Hideto Kazawa, Nippon Telegraph and Telephone Corporation
Shotaro Akaho, National Institute of Advanced Industrial Science and Technology
Ordered lists of objects are widely used as representational forms. Such ordered objects include Web search results or bestseller lists. In spite of their importance, methods of processing orders have received little attention. However, research concerning orders has recently become common; in particular, researchers have developed various methods for the task of Supervised Ordering to acquire functions for object sorting from example orders. Here, we give a unified view of these methods and our new one, and empirically survey their merits and demerits.
Citation:
Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho, "Supervised Ordering — An Empirical Survey," icdm, pp.673-676, Fifth IEEE International Conference on Data Mining (ICDM'05), 2005
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