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» Mining Approximative Descriptions of Sets Using Rough Sets
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CINQ
2004
Springer
116views Database» more  CINQ 2004»
13 years 11 months ago
A Survey on Condensed Representations for Frequent Sets
Abstract. Solving inductive queries which have to return complete collections of patterns satisfying a given predicate has been studied extensively the last few years. The specific...
Toon Calders, Christophe Rigotti, Jean-Franç...
RSCTC
2004
Springer
110views Fuzzy Logic» more  RSCTC 2004»
14 years 1 months ago
A Graded Applicability of Rules
We address the problem of rough applicability of rules within the framework of approximation spaces. The graded applicability of a rule for an object of an approximation space, int...
Anna Gomolinska
ICTAI
2007
IEEE
14 years 2 months ago
Exploratory Quantitative Contrast Set Mining: A Discretization Approach
Contrast sets have been shown to be a useful tool for describing differences between groups. A contrast set is a set of association rules for which the antecedents describe distin...
Mondelle Simeon, Robert J. Hilderman
PKDD
1999
Springer
118views Data Mining» more  PKDD 1999»
13 years 12 months ago
Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions
We describe the problem of mining possibilistic set-valued rules in large relational tables containing categorical attributes taking a finite number of values. An example of such a...
Alexandr A. Savinov
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
14 years 4 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...