"2"^^ . "Var\u0161ava" . . . . "fuzzy association analysis; t-norm; association rules"@en . "The Role of a T-norm and Partitioning in Fuzzy Association Analysis"@en . "The Role of a T-norm and Partitioning in Fuzzy Association Analysis" . . "9"^^ . "Fuzzy association analysis extracts relationships from data. The result of fuzzy association analysis depends on a chosen t-norm that is used for calculating confidence and support measures of mined association rules. We show that the set of mined association rules might change depending on the t-norm. We measure the distances of sets of mined rules with different t-norms and also with set of rules mined by crisp association analysis. We experiment with various datasets and partitioning methods to examine relationships of mined rules by different t-norms. Our experiments shed new light on application of fuzzy association mining and confirm that fuzzy association analysis usually brings signifficantly different results when compared to results given by crisp (non-fuzzy) association analysis."@en . "2014-09-22+02:00"^^ . . . "978-3-319-10764-6" . . "Rusnok, Pavel" . "Springer-Verlag" . . . "RIV/61988987:17610/14:A1501B7C!RIV15-MSM-17610___" . . "RIV/61988987:17610/14:A1501B7C" . . . "P(ED1.1.00/02.0070), S" . . "Kupka, Ji\u0159\u00ED" . . "[526C627435F8]" . "The Role of a T-norm and Partitioning in Fuzzy Association Analysis" . "Strengthening Links between Data Analysis and Soft Computing" . . "The Role of a T-norm and Partitioning in Fuzzy Association Analysis"@en . "2"^^ . . . "Fuzzy association analysis extracts relationships from data. The result of fuzzy association analysis depends on a chosen t-norm that is used for calculating confidence and support measures of mined association rules. We show that the set of mined association rules might change depending on the t-norm. We measure the distances of sets of mined rules with different t-norms and also with set of rules mined by crisp association analysis. We experiment with various datasets and partitioning methods to examine relationships of mined rules by different t-norms. Our experiments shed new light on application of fuzzy association mining and confirm that fuzzy association analysis usually brings signifficantly different results when compared to results given by crisp (non-fuzzy) association analysis." . "43074" . "17610" . .