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Fuzzy Association Rules: A Two-Sided Approach
by
M. De Cock
,
C. Cornelis
,
M. De
,
Cock C. Cornelis
,
E. E. Kerre
| Citations: | 3 - 0 self |
BibTeX
@MISC{Cock_fuzzyassociation,
author = {M. De Cock and C. Cornelis and M. De and Cock C. Cornelis and E. E. Kerre},
title = {Fuzzy Association Rules: A Two-Sided Approach},
year = {}
}
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Abstract
We bring to the surface the fundamental two-sidedness of knowledge in the framework of association rules, until now only slumberingly present in the measures of support and confidence. We identify the set of positive as well as the set of negative examples which are not necessarily complementary.
