Incorporating medical history to cost sensitive classification with lazy learning strategy

Publication Type:
Conference Proceeding
Proceedings of the 2010 IEEE International Conference on Progress in Informatics and Computing, PIC 2010, 2010, pp. 19 - 23
Issue Date:
Filename Description Size
Thumbnail2010003130OK.pdf806.63 kB
Adobe PDF
Full metadata record
This paper studies an actual and new setting of cost-sensitive learning, i.e., combining test data with medical history under multiple-scale cost constraints. With a new cost structure, an attribute selection strategy is incorporated to a lazy decision t
Please use this identifier to cite or link to this item: