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Published Articles >> Table of Contents >> Abstract
Fourth IEEE International Conference on Data Mining (ICDM'04)
pp. 359-362
An Evaluation of Approaches to Classification Rule Selection
Frans Coenen, The University of Liverpool, UK
Paul Leng, The University of Liverpool, UK
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2004.10012
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| Abstract |
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In this paper a number of Classification Rule evaluation measures are considered. In particular the authors review the use of a variety of selection techniques used to order classification rules contained in a classifier, and a number of mechanisms used to classify unseen data. The authors demonstrate that rule ordering founded on the size of antecedent works well given certain conditions.
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 Additional Information
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Index Terms- Classification rule evaluation measures
Citation:
Frans Coenen, Paul Leng,
"An Evaluation of Approaches to Classification Rule Selection,"
icdm,
pp. 359-362,
Fourth IEEE International Conference on Data Mining (ICDM'04),
2004
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