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Computing time-decayed aggregates under smooth decay functions

机译:在平滑衰减函数下计算时间衰减的聚合

摘要

Aggregates are calculated from a data stream in which data is sent in a sequence of tuples, in which each tuple comprises an item identifier and a timestamp indicating when the tuple was transmitted. The tuples may arrive at a data receiver out-of-order, that is, the sequence in which the tuples arrive are not necessarily in the same sequence as their corresponding timestamps. In calculating aggregates, more recent data may be given more weight by a decay function which is a function of the timestamp associated with the tuple and the current time. The statistical characteristics of the tuples are summarized by a set of linear data summaries. The set of linear data summaries are generated such that only a single linear data summary falls between a set of boundaries calculated from the decay function and a set of timestamps. Aggregates are calculated from the set of linear data summaries.
机译:从数据流中计算聚合,在该数据流中以元组序列发送数据,其中每个元组包括一个项目标识符和一个时间戳,该时间戳指示何时发送该元组。元组可能无序到达数据接收器,也就是说,元组到达的顺序不一定与它们相应的时间戳相同。在计算聚合时,可以使用衰减函数为最新数据赋予更多权重,该衰减函数是与元组和当前时间关联的时间戳的函数。元组的统计特征通过一组线性数据摘要进行总结。生成一组线性数据摘要,以便仅单个线性数据摘要落在根据衰减函数计算的一组边界和一组时间戳之间。聚合是根据一组线性数据摘要计算得出的。

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