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An information-theoretic approach to quantitative association rule mining

✍ Scribed by Yiping Ke; James Cheng; Wilfred Ng


Publisher
Springer-Verlag
Year
2007
Tongue
English
Weight
599 KB
Volume
16
Category
Article
ISSN
0219-1377

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A novel, information-theoretic fuzzy approach to discovering unreliable data in a relational database is presented. A multilevel information-theoretic connectionist network is constructed to evaluate activation functions of partially reliable database values. The degree of value reliability is deΓΏne