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• W2214361085 abstract "al¨ Abstract An association rule is statistically significant, if it has a small probability to occur by chance. It is well-known that the traditional frequency-confidence framework does not produce statistically significant rules. It can both accept spurious rules (type 1 error) and reject significant rules (type 2 error). The same problem concerns other commonly used interestingness measures and pruning heuristics. In this paper, we inspect the most common measure functions - frequency, confidence, degree of dependence, c 2 , correlation coefficient, and J-measure - and redundancy reduc- tion techniques. For each technique, we analyze whether it can make type 1 or type 2 error and the conditions under which the error occurs. In addition, we give new theoretical results which can be use to guide the search for statistically significant association rules." @default.
• W2214361085 created "2016-06-24" @default.
• W2214361085 creator A5077299041 @default.
• W2214361085 date "2014-05-06" @default.
• W2214361085 modified "2023-09-27" @default.
• W2214361085 title "Assessing the statistical significance of association rules" @default.
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• W2214361085 hasPublicationYear "2014" @default.
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