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The application of association rule mining to classification has led to a new family of classifiers which are often referred to as Associative Classifiers (ACs). An advantage of ACs is that they are rule-based and thus lend themselves to an easier interpretation. However, it is common knowledge that association rule mining typically yields a sheer number of rules defeating the purpose of a human readable...
As a crucial point of semantic integration, ontology mapping has been researched in-depth in recent years. In this paper, the problem of concept similarity computing is regarded as the problem of classifying, and a multi-strategy ontology mapping framework based on stacking method is proposed with the multi concept similarity computing strategies being combined with Stacking method; also, a novel...
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