Mining Positive and Negative Association Rules Using CoherentApproach

Rakesh Duggirala; P. Narayana

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arXiv · 1308.2310

Mining Positive and Negative Association Rules Using CoherentApproach

Rakesh Duggirala·P. Narayana

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Abstract

In the data mining field, association rules are discovered having domain knowledge specified as a minimum support threshold. The accuracy in setting up this threshold directly influences the number and the quality of association rules discovered. Typically, before association rules are mined, a user needs to determine a support threshold in order to obtain only the frequent item sets. Having users to determine a support threshold attracts a number of issues. We propose an association rule mining framework that does not require a per-set support threshold. Often, the number of association rules, even though large in number, misses some interesting rules and the rules quality necessitates further analysis. As a result, decision making using these rules could lead to risky actions.

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Rakesh Duggirala, P. Narayana. 2013-08-10. Mining Positive and Negative Association Rules Using CoherentApproach. https://arxiv.org/abs/1308.2310

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