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• W2155963392 abstract "Sliding window is a widely used model for data stream processing and mining. Frequent itemset mining over sliding window is a challenging problem due to limited processing resources. In this study, an efficient representation of sliding window is proposed. In this representation, a blocked bit sequence technique is used to enhance both sliding and mining time. Experimental evaluations show that our algorithm outperforms a recently proposed algorithm." @default.
• W2155963392 created "2016-06-24" @default.
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• W2155963392 date "2011-07-01" @default.
• W2155963392 modified "2023-09-25" @default.
• W2155963392 title "A block-based approach for frequent itemset mining over data streams" @default.
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• W2155963392 doi "https://doi.org/10.1109/fskd.2011.6019903" @default.
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