In this paper, we define group association rules and we study interestingness measures for them. These evaluation measures can be used to rank groups of ...
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In this paper, we define group association rules and we study interestingness measures for them. These interestingness measures can be used to rank, not only ...
Association rules have been used to analyze the relationships among the frequent itemsets in transactional and relational databases. Let I = {I1,I2, ...
This paper defines group association rules and interestingness measures for them, which can be used to rank, not only groups of individuals, but also rules ...
Abstract. The work described in this paper addresses the study of association rules within groups of individuals. The analysis.
Apr 17, 2013 · In this paper, we define group association rules and we study interestingness measures for them. These interestingness measures can be used to ...
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We present an experimental study of the behaviour of the interestingness measures such as lift, rule interest, Laplace, and information gain. Our experimental ...
Interestingness measures play an important role in association rule mining. These measures are used to find interesting patterns based on user need. The ...
For example, metrics such as support, confidence, lift, correlation, and collective strength are often used to determine the interestingness of association ...
GROUP. Hierarchical Association Rules: Motivation. • Problem of association rules in plain itemsets. – High minsup: apriori finds only few rules. – Low minsup ...