Reason-A Technical Journal (Formerly Reason-A Technical Magazine)

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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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