Discovering classification knowledge in databases using rough sets

Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Nick J. Cercone · 1996

The paper presents an approach to data min-ing involving search for complete, or nearly com-plete, domain classifications in terms of attribute values. Our objective is to find classifications based on interacting attributes that provide a good characterization of the concept of interest by maximizing predefined quality criteria. The paper introduces the notion of the classification complexity and several other measures to evalu--A.--..-1:1-. abe yuauby.

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