Coupling of Rough Set Theory and Predictive Power of SVM Towards Mining of Missing Data
Abstract Rough set theory offers a novel approach to identifying structural correlations amidst imprecise or noisy data, particularly applicable to variables with diverse values. It presents a promising avenue for handling fuzzy, conflicting, and uncertain data, with recent models incorporating various fuzzy generalizations. This technique stands out as a popular solution within artificial intelligence, particularly […]
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