NDLI: A rule evaluation support method with learning models based on objective rule evaluation indexes

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A rule evaluation support method with learning models based on objective rule evaluation indexes

Content Provider	IEEE Xplore Digital Library
Author	Abe, H. Tsumoto, S. Ohsaki, M. Yamaguchi, T.
Copyright Year	2005
Description	Author affiliation: Dept. of Med. Informatics, Shimane Univ., Japan (Abe, H.; Tsumoto, S.)
Abstract	In this paper, we present a novel rule evaluation support method for post-processing of mined results with rule evaluation models based on objective indexes. Post-processing of mined results is one of the key issues to make a data mining process successfully. However, it is difficult for human experts to evaluate many thousands of rules from a large dataset with noises completely. To reduce the costs of rule evaluation procedures, we have developed the rule evaluation support method with rule evaluation models, which are obtained with objective rule evaluation indexes and evaluations of a human expert for each rule. Since the method is needed more accurate rule evaluation models, we have compared learning algorithms to construct rule evaluation models with the actual meningitis data mining result and actual rule sets from UCI datasets. Then we show the availability of our adaptive rule evaluation support method.
File Size	145059
File Format	PDF
ISBN	0769522785
ISSN	15504786
DOI	10.1109/ICDM.2005.13
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-11-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Data mining Predictive models Training data Biomedical informatics Biomedical engineering Costs Information systems Availability Prediction algorithms
Content Type	Text
Resource Type	Article

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