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REGULARITY ESTIMATING METHOD FOR PATTERNS OF STREAMING DATA

机译:流数据模式的规律性估计方法

摘要

Disclosed is a pattern regularity estimating method of streaming data. The method may be configured to comprise: an order group generating step of generating an order group according to the number of data set for order comparison of data; a streaming data input step of inputting analysis target streaming data in a buffer; a re-sampling step of removing noises from the streaming data and then performing a sampling operation as many as the number of data; a re-discretizing step of re-discretizing the re-sampled streaming data; a number allocation step for each size of comparing the sizes of the re-discretized data and allocating the number in the order of size; a belonging group determining and updating step of determining a belonging group in accordance with an allocated order and updating the number of members of the belonging group; and a pattern regularity calculating step of calculating pattern regularity based on the size of the data belonging to each group.
机译:公开了一种流数据的模式规则性估计方法。该方法可以被配置为包括:订单组生成步骤,根据数据集的数量生成订单组以用于数据的订单比较;以及流数据输入步骤,将分析目标流数据输入到缓冲器中;重新采样步骤,从流数据中去除噪声,然后执行与数据数量一样多的采样操作;重新离散化步骤,对重新采样的流数据进行重新离散化;每个大小的数字分配步骤,用于比较再离散化数据的大小,并按大小顺序分配数字;归属组确定和更新步骤,根据分配的顺序确定归属组并更新归属组的成员数;图案规则性计算步骤,基于属于每个组的数据的大小来计算图案规则性。

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