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DMIN
2006
151views Data Mining» more  DMIN 2006»
13 years 10 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
RSCTC
2000
Springer
227views Fuzzy Logic» more  RSCTC 2000»
14 years 5 days 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
ESWA
2007
105views more  ESWA 2007»
13 years 8 months ago
Applying rough sets to prevent customer complaints for IC packaging foundry
Packaging is classified as one of back-end processes in the integrated circuits (ICs) manufacturing, highly capital-intensive and involves complex processes. Unlike the front-end...
Hsu-Hao Yang, Tzu-Chiang Liu, Yen-Ting Lin
FUIN
2002
123views more  FUIN 2002»
13 years 8 months ago
Learning Rough Set Classifiers from Gene Expressions and Clinical Data
Biological research is currently undergoing a revolution. With the advent of microarray technology the behavior of thousands of genes can be measured simultaneously. This capabilit...
Herman Midelfart, Henryk Jan Komorowski, Kristin N...
ISDA
2008
IEEE
14 years 3 months ago
Rough Set Granularity in Mobile Web Pre-caching
Mobile Web pre-caching (Web prefetching and caching) is an explication of performance enhancement and storage limitation of mobile devices. In this paper, we present the granulari...
Sarina Sulaiman, Siti Mariyam Hj. Shamsuddin, Ajit...