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Mining Maximal Frequent Itemsets with Frequent Pattern List
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007Mining frequent itemsets is a major aspect of association rule research. However, the mining of the complete of frequent itemsets will lead to a huge number of itemsets. Fortunately, this problem can be reduced to the mining of maximal frequent itemsets.
Jin Qian, Feiyue Ye
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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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Memory issues in frequent itemset mining
Proceedings of the 2004 ACM symposium on Applied computing, 2004During the past decade, many algorithms have been proposed to solve the frequent itemset mining problem, i.e. find all sets of items that frequently occur together in a given database of transactions. Although very efficient techniques have been presented, they still suffer from the same problem. That is, they are all inherently dependent on the amount
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FPGA/GPU-based Acceleration for Frequent Itemsets Mining: A Comprehensive Review
ACM Computing Surveys, 2022Lazaro Bustio-Martínez +2 more
exaly
Efficient strategies for incremental mining of frequent closed itemsets over data streams
Expert Systems With Applications, 2022Junqiang Liu +2 more
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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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A novel pruning algorithm for mining long and maximum length frequent itemsets
Expert Systems With Applications, 2020Sina Lessanibahri, Luca Gastaldi
exaly
Incremental frequent itemsets mining based on frequent pattern tree and multi-scale
Expert Systems With Applications, 2021Yaling Xun, Xiaohui Cui, Jifu Zhang
exaly
An efficient method for mining frequent itemsets with double constraints
Engineering Applications of Artificial Intelligence, 2014Hai Duong, TIN Truong, Bay Võ
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