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Association Rules are a basic concept of data mining. They are, however, notunderstood as logical objects which can be used for reasoning. The purpose ofthis paper is to investigate a model based semantic for implications withcertain constraints on their support and confidence in relational data, whichthen resemble association rules, and to present a possibility to decideentailment for them.

Deciding Entailment of Implications with Support and Confidence in Polynomial Space