An efficient rigorous approach for identifying statistically significant frequent itemsets.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/pods/KirschMPPUV09
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2009
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An efficient rigorous approach for identifying statistically significant frequent itemsets.
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false discovery rate, frequent itemset mining, multi-hypothesis test, poisson approximation, statistical significance
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An efficient rigorous approach for identifying statistically significant frequent itemsets.
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