Raymonde Akiki

Clustering-Guided Knowledge Base for Multi-Objective Rule Mining on Imbalanced Datasets

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...