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Mining Frequent Weighted Closed Itemsets
2013Mining frequent itemsets plays an important role in mining association rules. One of methods for mining frequent itemsets is mining frequent weighted itemsets (FWIs). However, the number of FWIs is often very large when the database is large. Besides, FWIs will generate a lot of rules and some of them are redundant.
Bay Vo, Nhu-Y Tran, Duong-Ha Ngo
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On Maximal Frequent Itemsets Enumeration
2018Enumerating interesting patterns from data is an important data mining task. Among the set of possible relevant patterns, maximal frequent patterns is a well known condensed representation that limits at least to some extent the size of the output. Recently, a new declarative mining framework based on constraint programming (CP and satisfiability (SAT)
Said Jabbour +2 more
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Efficient weighted probabilistic frequent itemset mining in uncertain databases
Expert Systems, 2021Zhiyang Li, Junfeng Wu, Zhaobin Liu
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Marginal frequent itemset mining for fault prevention of railway overhead contact system
ISA Transactions, 2022Shibin Gao, Long Yu
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HBPFP-DC: A parallel frequent itemset mining using Spark
Parallel Computing, 2021Yaling Xun, Jifu Zhang, Haifeng Yang
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Toward Practical Privacy-Preserving Frequent Itemset Mining on Encrypted Cloud Data
IEEE Transactions on Cloud Computing, 2020Shuo Qiu, Boyang Wang, Ming Li
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Frequent itemset mining: A 25 years review
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2019Jose Maria Luna +2 more
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