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- W2162279071 abstract "This paper introduce the algorithm MIBFD (mining frequent items using bloom filter based on damped model) for mining recent frequent items in data streams. Based on an efficient data structure named extensible and scalable bloom filter(ESBF), MIBFD is able to adjust the size of memory used dynamically. Theoretical analysis and experiments show that MIBFD is efficient both in processing time and in memory usage." @default.
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- W2162279071 date "2007-01-01" @default.
- W2162279071 modified "2023-09-23" @default.
- W2162279071 title "Mining Frequent Items Based on Bloom Filter" @default.
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- W2162279071 doi "https://doi.org/10.1109/fskd.2007.400" @default.
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