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Ghosal, Sukanta
- Rough Set: A Case Study on Technical Teachers' Training Data
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Authors
Sukanta Ghosal
1,
Samir Roy
1
Affiliations
1 National Institute of Technical Teachers’ Training & Research, Kolkata, IN
1 National Institute of Technical Teachers’ Training & Research, Kolkata, IN
Source
Reason-A Technical Journal (Formerly Reason-A Technical Magazine), Vol 14 (2015), Pagination: 75-82Abstract
This paper presents the theory of rough sets as a mathematical model of vague or inexact data. As well as it's application as a data mining tool for rule generation, out of large data. The domain of data has been taken from the training data of National Institute of Technical Teachers' Training&Research, Kolkata. ROSETTA, a rough set theoretic application tool developed at Warsaw University, Poland, has been used for the purpose. The rules generated through experiment reveal interesting knowledge hidden in the un-organized data of the target domain.Keywords
Indiscernibility, Boundary Regions, Reducts, ROSETTA, Rule Extraction.References
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- Komorowski, J., hrn, A. and Skowron, A., The ROSETTA Rough Set Software System.
- Hvidsten T.R., A Tutorial-Based Guide to the ROSETTA System: A Rough Set Toolkit for Analysis of Data, May 2006.