Abstract
In this paper we propose a method to identify significant attributes which aid in good classification, as well as introduce certain degrees of roughness. Exception rules are formed with these attributes using the fact that exceptional elements have high rough memberships to more than one distinct class.
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Dey, L., Ahmad, A., Kumar, S. (2005). Finding Interesting Rules Exploiting Rough Memberships. In: Pal, S.K., Bandyopadhyay, S., Biswas, S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2005. Lecture Notes in Computer Science, vol 3776. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590316_118
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DOI: https://doi.org/10.1007/11590316_118
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