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» Rough Sets in Spatio-temporal Data Mining
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DMIN
2006
151views Data Mining» more  DMIN 2006»
13 years 8 months ago
Rough Set Theory: Approach for Similarity Measure in Cluster Analysis
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
Shuchita Upadhyaya, Alka Arora, Rajni Jain
RSFDGRC
2005
Springer
126views Data Mining» more  RSFDGRC 2005»
14 years 28 days 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
FBIT
2007
IEEE
14 years 1 months ago
Evaluation of a Dominance-Based Rough Set Approach to Interface Design
This paper explores refinements to methods used in a procedure being developed by the authors to personalize user interfaces for online shopping support tools. In the authors’ ...
Timothy Maciag, Daryl H. Hepting, Robert J. Hilder...
BMCBI
2006
102views more  BMCBI 2006»
13 years 7 months ago
Prediction of protein structural class with Rough Sets
Background: A new method for the prediction of protein structural classes is constructed based on Rough Sets algorithm, which is a rule-based data mining method. Amino acid compos...
Youfang Cao, Shi Liu, Lida Zhang, Jie Qin, Jiang W...
RSFDGRC
2005
Springer
134views Data Mining» more  RSFDGRC 2005»
14 years 28 days ago
The Computational Complexity of Inference Using Rough Set Flow Graphs
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
Cory J. Butz, Wen Yan, Boting Yang