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» A rough set approach to multiple dataset analysis
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ASC
2011
9 years 9 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa
CAINE
2009
10 years 16 days ago
Clustering Customer Transactions: A Rough Set Based Approach
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...
Arunava Saha, Darsana Das, Dipanjan Karmakar, Dili...
RSKT
2007
Springer
10 years 8 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 classiļ¬cation problems, where data may be inconsistent with respect to the dominance princ...
Krzysztof Dembczynski, Salvatore Greco, Wojciech K...
GCB
2004
Springer
126views Biometrics» more  GCB 2004»
10 years 8 months ago
Proteochemometrics Modeling of Receptor-Ligand Interactions Using Rough Sets
Abstract: We report on a model for the interaction of chimeric melanocortin Gprotein coupled receptors with peptide ligands using the rough set approach. Rough sets generate If-The...
H. Strömbergsson, Peteris Prusis, Herman Mide...
DMIN
2006
151views Data Mining» more  DMIN 2006»
10 years 4 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
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