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In this paper, we discuss attribute-value reduction for raising up the understandability of data and rules. In the traditional “reduction” sense, the goal is to find the smallest number of attributes such that they enable us to discern each tuple or each decision class. However, once we pay attention also to the number of attribute values, that is, the size/resolution of each attribute domain, another...
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