Aug 2, 2013 � In this paper, we explore Boolean factor analysis, which uses formal concepts corresponding to classes of measures as factors, for the purpose�...
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Abstract. Measures of interestingness play a crucial role in association rule mining. An important methodological problem is to provide a rea-.
In this paper, we explore Boolean factor analysis, which uses formal concepts corresponding to classes of measures as factors, for the purpose of clustering of�...
In this paper, we explore Boolean factor analysis, which uses formal concepts corresponding to classes of measures as factors, for the purpose of clustering of�...
Boolean factors as a means of clustering of interestingness measures of association rules � R. Belohl�vek, Dhouha Grissa, +2 authors. Jan Outrata � Published in�...
Oct 26, 2015 � In this paper, we explore Boolean factor analysis, which uses formal concepts corresponding to classes of measures as factors, for the purpose�...
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Boolean factors as a means of clustering of interestingness measures of association rules. Annals of Mathematics and Artificial Intelligence, 2014, 70 (1-2)�...
Aug 2, 2013 � Abstract Measures of interestingness play a crucial role in association rule mining. An important methodological problem, on which several�...
Oct 18, 2011 � Boolean factors as a means of clustering of interestingness measures of association rules. Authors: Radim Belohlavek, Dhouha Grissa, Sylvie�...
Dhouha Grissa Radim Belohl�vek Sylvie Guillaume Engelbert Mephu Nguifo. Boolean Factors as a Means of Clustering of Interestingness Measures of Association�...