Mining Data Stream for Load Shedding
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چکیده
Data stream is continuous flow of data, which necessitates load shedding for data stream processing system. Here we study overload handling for frequent pattern mining indata streams. Here in this paper load shedding use frequent pattern matching algorithm i.e priority, transaction and attribute in overload situation. The heavy workload or continues stream of the mining algorithm lies mostly in the great deal of item sets, which need to be enumerated and by the mining algorithm. Therefore, our proposed scheme involves the maintenance of a smaller set of item sets, so the workload can be lessened accordingly.
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