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It is proved that this problem is fixed-parameter tractable when parameterized by k, r, and the maximum edge weight W, and it is shown that parameterized analysis is a useful tool in this setting.
A clustering-based knowledge base is proposed that captures positive-class structure before search begins and uses it to focus both initialization and neighborhood exploration in Moca-I, a multi-objective local-search algorithm that mines interpretable rule sets by trading off minority-class recall, precision, and comp...
This work investigates how balancing the number of decomposed subproblems and ants impacts performance under a fixed computational budget and introduces MOEA/D-AM, a hybrid algorithm that adapts this decomposition strategy for partial classification rule induction.
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