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» Mining Approximative Descriptions of Sets Using Rough Sets
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RSCTC
2000
Springer
227views Fuzzy Logic» more  RSCTC 2000»
13 years 9 months ago
Rough Sets in Approximate Spatial Reasoning
Abstract. In spatial reasoning the qualitative description of relations between spatial regions is of practical importance and has been widely studied. Examples of such relations a...
Thomas Bittner, John G. Stell
KDD
1995
ACM
135views Data Mining» more  KDD 1995»
13 years 9 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
RSFDGRC
2005
Springer
133views Data Mining» more  RSFDGRC 2005»
13 years 11 months ago
Rough Set Approximation Based on Dynamic Granulation
In this paper, the concept of a granulation order is proposed in an information system. The positive approximation of a set under a granulation order is defined. Some properties o...
Jiye Liang, Yuhua Qian, Chengyuan Chu, Deyu Li, Ju...
RSFDGRC
2005
Springer
126views Data Mining» more  RSFDGRC 2005»
13 years 11 months ago
Rough Sets and Higher Order Vagueness
Abstract. We present a rough set approach to vague concept approximation within the adaptive learning framework. In particular, the role of extensions of approximation spaces in se...
Andrzej Skowron, Roman W. Swiniarski