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» A Graded Applicability of Rules
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EDBT
2000
ACM
14 years 1 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
ICMLA
2009
13 years 7 months ago
Discovering Characterization Rules from Rankings
For many ranking applications we would like to understand not only which items are top-ranked, but also why they are top-ranked. However, many of the best ranking algorithms (e.g....
Ansaf Salleb-Aouissi, Bert C. Huang, David L. Walt...
KDD
2002
ACM
214views Data Mining» more  KDD 2002»
14 years 10 months ago
Privacy preserving association rule mining in vertically partitioned data
Privacy considerations often constrain data mining projects. This paper addresses the problem of association rule mining where transactions are distributed across sources. Each si...
Jaideep Vaidya, Chris Clifton
RR
2007
Springer
14 years 3 months ago
Expressive Reasoning with Horn Rules and Fuzzy Description Logics
Abstract. This essay describes fuzzy CARIN, a knowledge representation language combining fuzzy description logics with Horn rules. Fuzzy CARIN integrates the management of fuzzy l...
Theofilos P. Mailis, Giorgos Stoilos, Giorgos B. S...
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 10 months ago
Discovering significant rules
In many applications, association rules will only be interesting if they represent non-trivial correlations between all constituent items. Numerous techniques have been developed ...
Geoffrey I. Webb