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» Mining Approximative Descriptions of Sets Using Rough Sets
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ACM
1995
13 years 11 months ago
Rough Sets
We study properties of rough sets, that is, approximations to sets of records in a database or, more formally, to subsets of the universe of an information system. A rough set is a...
Zdzislaw Pawlak
RSFDGRC
2007
Springer
236views Data Mining» more  RSFDGRC 2007»
14 years 1 months ago
Constructing Associative Classifier Using Rough Sets and Evidence Theory
Constructing accurate classifier based on association rule is an important and challenging task in data mining. In this paper, a novel combination strategy based on rough sets (RST...
Yuan-Chun Jiang, Ye-Zheng Liu, Xiao Liu, Jie-Kui Z...
RSEISP
2007
Springer
14 years 1 months ago
Rough Sets and Approximation Schemes
Abstract. Approximate reasoning is used in a variety of reasoning tasks in Logicbased Artificial Intelligence. In this abstract we compare a number of such reasoning schemes and s...
Victor W. Marek, Miroslaw Truszczynski
ASIAMS
2007
IEEE
14 years 2 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal
DAWAK
2006
Springer
13 years 11 months ago
Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
This paper describes problem of prediction that is based on direct marketing data coming from Nationwide Products and Services Questionnaire (NPSQ) prepared by Polish division of A...
Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciec...