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- W2371636770 abstract "This paper analyzed the deficiencies of current load shedding techniques and proposed a new load-shedding strategy for data stream frequent data item mining.This strategy adopted the semantics of tuple deletion based on data item frequency to delete tuples with relatively low frequency as possible,thus it could effectively solve the problems when mining the frequent data item while the system was overloaded.Moreover,starting and stopping load shedding strategy was controlled automatically based on the data stream rate,so it was effectively address the problem of load shedding adaptability.According to the experiments and analysis,the proposed strategy has the effectiveness of mining frequent items in data stream." @default.
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- W2371636770 date "2011-01-01" @default.
- W2371636770 modified "2023-09-23" @default.
- W2371636770 title "Load-shedding strategy for data stream frequent item mining" @default.
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