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Rough Set: A Case Study on Technical Teachers' Training Data


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1 National Institute of Technical Teachers’ Training & Research, Kolkata, India
 

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.
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Abstract Views: 249

PDF Views: 26




  • Rough Set: A Case Study on Technical Teachers' Training Data

Abstract Views: 249  |  PDF Views: 26

Authors

Sukanta Ghosal
National Institute of Technical Teachers’ Training & Research, Kolkata, India
Samir Roy
National Institute of Technical Teachers’ Training & Research, Kolkata, India

Abstract


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





DOI: https://doi.org/10.21843/reas%2F2015%2F75-82%2F108343