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- W2363877467 abstract "The disadvantage which the algorithm EC for mining frequent item over data streams was analyzed,such as the inaccurate of the frequent item mined in a recent period of time over the data stream.Put forward a data structure the frequent item sample in the form of 4 member group.Then,presented an algorithm SWFPM which based on sliding window for mining frequent item over data streams.The SWFPM algorithm can accurately mine the frequent item over the sliding window.The IBM synthesizes data generation which output customer shopping a data and the accessing record of the world cup official website data in 1998 are adopted as experiment data.The algorithm is of high preciseness for mining frequent item,and high perfor-mance for data processing." @default.
- W2363877467 created "2016-06-24" @default.
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- W2363877467 date "2009-01-01" @default.
- W2363877467 modified "2023-09-24" @default.
- W2363877467 title "SWFPM:efficient algorithm for mining frequent item over data streams" @default.
- W2363877467 hasPublicationYear "2009" @default.
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