SYSTEM AND METHOD FOR DETECTING A SHIFT IN REAL DATA TREND USING THE CONFIGURABLE ADAPTIVE THRESHOLD

    公开(公告)号:US20200004619A1

    公开(公告)日:2020-01-02

    申请号:US16022059

    申请日:2018-06-28

    Abstract: A computer-implemented system for detecting shifts in data is provided. The system is configured to: calculate, based on the value of a plurality of user-selectable baseline configuration parameters, baseline values for a series of data items in a data structure, wherein the baseline values include an average value and a standard deviation value; calculate, based on the value of a plurality of user-selectable weighted threshold parameters, a weighted threshold level for the series of data items; detect, based on the value of a plurality of user-selectable shift detection parameters, a shift in the series of data items, wherein the shift comprises an abrupt shift, a rapid drift, or a gradual drift; convert, based on the value of a plurality of user-selectable normalization parameters, the value of each data item in the series of data items to a normalized value; and determine whether the normalized values indicate a data shift.

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