Rough set theory approach for attribute reduction.
Lukshmi, R.A.; Geetha, P.V.; Venkatesan, P.
Indian Journal of Automation & Artificial Intelligence; 2013; 1; 70-80.
Abstract: Knowledge Discovery from databases is practically important in many fields, including the field of medicine. Many methods are being developed for knowledge discovery and due to the availability of enormous amount of data, extraction of knowledge from database has become a challenging task. Researchers have proved methods, among which Rough Set Theory is an effective tool for knowledge discovery. In this paper, Rough Set Theory and its basic ideas are reviewed and applied to identify symptoms for diagnosing diabetes. This study also presents methods for extension to high dimensional data in the medical domain.
Keywords: Knowledge discovery; Rough set theory; Discernibility matrix; Reduct; Rule extraction
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