Deciding Entailment of Implications with Support and Confidence in Polynomial Space

Details Deciding Entailment of Implications with Support and Confidence in Polynomial Space Deciding Entailment of Implications with Support and Confidence in Polynomial Space

2012-01-27

arxiv.org/abs/1201.5719v2

Computer Science

Logic in Computer Science

Scientific paper

Association Rules are a basic concept of data mining. They are, however, not understood as logical objects which can be used for reasoning. The purpose of this paper is to investigate a model based semantic for implications with certain constraints on their support and confidence in relational data, which then resemble association rules, and to present a possibility to decide entailment for them.

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