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DETECTION OF ANOMALIES OF PERSPECTIVE DATA PRESENTATIONS

机译:透视数据表示异常

摘要

FIELD: physics; computer engineering.;SUBSTANCE: invention relates to data analysis. Present invention relates to data processing methods by selecting a curve to provide for automatic detection of data anomalies in a "data pipe" from a perspective data presentation, which allows for example for detecting data anomalies such as anomalies displayed on a screen, anomalies detected during top-down analysis, and anomalies detected during "transverse" analysis for example in summary tables and/or OLAP data cubes (data cubes created using online analytical processing technology). According to the invention, determination is made whether data differ from the forecast value set by the curve selection process, for example such as a piecewise linear function applied to the data pipe. According to the invention, a threshold value can also be used to assist in determining deviation scope which is necessary before the data value is ruled anomalous. The invention also provides the user with indication of the type and location of the detected anomaly on the perspective data presentation related to the upper level.;EFFECT: more efficient data processing.;36 cl, 7 dwg, 5 tbl
机译:领域:物理学;计算机工程。本发明涉及数据分析。本发明涉及通过选择曲线以从透视图数据表示中自动检测“数据管道”中的数据异常的数据处理方法,其例如允许检测诸如显示在屏幕上的异常之类的数据异常,在显示期间检测到的异常。自上而下的分析,以及在“横向”分析过程中检测到的异常,例如在汇总表和/或OLAP数据多维数据集中(使用在线分析处理技术创建的数据多维数据集)。根据本发明,确定数据是否与通过曲线选择处理设置的预测值不同,例如应用于数据管道的分段线性函数。根据本发明,阈值还可以用于帮助确定在将数据值判定为异常之前所必需的偏差范围。本发明还向用户提供与上层有关的透视数据表示上所检测到的异常的类型和位置的指示;效果:更有效的数据处理; 36 cl,7 dwg,5 tbl

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