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CORRELATION PROCESSES FOR IDENTIFYING CAUSE AND EFFECT RELATIONSHIPS IN COMPLEX BUSINESS ENVIRONMENTS

机译:识别复杂业务环境中的原因和影响关系的关联过程

摘要

A set of proof correlation processes for identifying the two equal-length ranges (corresponding to time periods) contained within two discrete time data series (one range per series) that exhibit the highest correlation score when evaluated by a method that mimic how humans visually assess and score correlation is disclosed. The set of proof correlation processes include scoring the strength of correlation exhibited by ranges of data values corresponding to time periods and within two discrete time data series, and determining the number of time intervals that the variable series must be shifted (either forward or backward in time) with respect to the static series to exhibit the maximum correlation score for the given range pairs.
机译:一组证明相关过程,用于识别两个离散时间数据系列(每个系列一个范围)中包含的两个等长范围(对应于时间段),这些时间范围通过模拟人类视觉评估的方法进行评估时显示出最高的相关分数并公开得分相关性。一组证明相关过程包括对与时间段相对应的数据值范围和两个离散时间数据序列内的相关强度进行评分,并确定变量序列必须移位的时间间隔数(在序列中向前或向后移动)时间)相对于静态序列,以显示给定范围对的最大相关性得分。

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