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Frequent Itemset Mining in Multirelational Databases
2009This paper proposes a new approach to mine multirelational databases. Our approach is based on the representation of a multirelational database as a set of trees. Tree mining techniques can then be applied to identify frequent patterns in this kind of databases.
Aída Jiménez +2 more
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The Research of Sampling for Mining Frequent Itemsets
2006Efficiently mining frequent itemsets is the key step in extracting association rules from large scale databases. Considering the restriction of min_support in mining association rules, a weighted sampling algorithm for mining frequent itemsets is proposed in the paper. First of all, a weight is given to each transaction data.
Xuegang Hu, Haitao Yu
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Mining Frequent Itemsets in Evolving Databases
Proceedings of the 2002 SIAM International Conference on Data Mining, 2002Adriano Veloso +5 more
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Frequent Itemset Mining Algorithms—A Literature Survey
Lecture Notes in Networks and Systems, 2022S Pravinth Raja
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Non-Interactive Privacy-Preserving Frequent Itemset Mining Over Encrypted Cloud Data
IEEE Transactions on Cloud Computing, 2023Jiwu Huang, Weiqi Luo, Hongmei Liu
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Toward Practical Privacy-Preserving Frequent Itemset Mining on Encrypted Cloud Data
IEEE Transactions on Cloud Computing, 2020Shuo Qiu, Boyang Wang
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Frequent itemset mining: A 25 years review
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2019Philippe Fournier-Viger +2 more
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Parallel frequent itemset mining using systolic arrays
Knowledge-Based Systems, 2013Mohammad Karim Sohrabi +1 more
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