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» Approximations and Rough Sets Based on Tolerances
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RSCTC
2004
Springer
134views Fuzzy Logic» more  RSCTC 2004»
14 years 24 days ago
Rough Set Methods in Approximation of Hierarchical Concepts
Abstract. Many learning methods ignore domain knowledge in synthesis of concept approximation. We propose to use hierarchical schemes for learning approximations of complex concept...
Jan G. Bazan, Sinh Hoa Nguyen, Hung Son Nguyen, An...
FSS
2007
176views more  FSS 2007»
13 years 7 months ago
Set approximations in fuzzy formal concept analysis
Formal concept analysis and rough set theory are two important tools in knowledge representation and knowledge discovery in relational information systems. The purpose of this pap...
Ming-Wen Shao, Min Liu, Wen-Xiu Zhang
WEBI
2005
Springer
14 years 28 days ago
A Method of Web Search Result Clustering Based on Rough Sets
Due to the enormous size of the web and low precision of user queries, finding the right information from the web can be difficult if not impossible. One approach that tries to ...
Chi Lang Ngo, Hung Son Nguyen
RSKT
2007
Springer
14 years 1 months ago
Optimized Generalized Decision in Dominance-Based Rough Set Approach
Dominance-based Rough Set Approach (DRSA) has been proposed to deal with multi-criteria classification problems, where data may be inconsistent with respect to the dominance princ...
Krzysztof Dembczynski, Salvatore Greco, Wojciech K...
TSDM
2000
151views Data Mining» more  TSDM 2000»
13 years 11 months ago
Rough Sets in Spatio-temporal Data Mining
In this paper I define spatio-temporal regions as pairs consisting of a spatial and a temporal component and I define topological relations between them. Using the notion of rough ...
Thomas Bittner