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Published Articles >> Table of Contents >> Abstract
18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06)
pp. 82-85
Variables Interaction for Mining Negative and Positive Quantitative Association Rules
Leila Nemmiche Alachaher, LIMOS, UBP UMR 6158 CNRS, Complexe des Cézeaux, France
Sylvie Guillaume, LIMOS, UBP UMR 6158 CNRS, Complexe des Cézeaux, France
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2006.119
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| Abstract |
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This paper introduces an efficient method for mining
both positive and negative quantitative association rules using
a tabular pruning and regrouping strategy coordinated
with an interestingness measure. This measure evaluates
the impact of a new variable on the concerned association.
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 Additional Information
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Citation:
Leila Nemmiche Alachaher, Sylvie Guillaume,
"Variables Interaction for Mining Negative and Positive Quantitative Association Rules,"
ictai,
pp. 82-85,
18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06),
2006
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