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SYSTEMS AND METHODS FOR TRENDING PATTERNS WITHIN TIME-SERIES DATA

机译：时间序列数据内的趋势模式的系统和方法

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摘要

Systems and methods for trending patterns within a set of time-series data are described. In one or more embodiments, a set of one or more groups of data points that are associated with a particular seasonal pattern are generated within volatile and/or non-volatile storage. A set of pairwise slopes is determined for data point pairs within the set of one or more groups of data points. Based, at least in part on the plurality of pairwise slopes, a representative trend rate for the particular seasonal pattern is determined. A set of forecasted values is then generated within volatile or non-volatile storage based, at least in part, on the representative trend rate for the particular seasonal pattern.

机译：描述了一组时间序列数据内的趋势模式的系统和方法。在一个或多个实施例中，在易失性和/或非易失性存储器内产生与特定季节性模式相关联的一组或多组数据点。在一个或多个数据点组中的数据点对确定一组成对斜率。至少部分地基于多个成对斜率，确定特定季节性模式的代表性趋势率。然后，至少部分地基于特定季节性模式的代表性趋势率在易失性或非易失性存储器中产生一组预测值。

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公开/公告号US2022020188A1

专利类型
公开/公告日2022-01-20

原文格式PDF
申请/专利权人 ORACLE INTERNATIONAL CORPORATION;
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申请/专利号US202117390523
发明设计人 DUSTIN GARVEY;SAMPANNA SHAHAJI SALUNKE;URI SHAFT;
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申请日2021-07-30
分类号G06T11/20;G06Q30/02;G06N20;G06Q10/04;G06F17/18;G06F21/55;G06Q10/06;G06K9;G06K9/62;G06F11/34;G06Q10/10;G06T11;
国家 US
入库时间 2022-08-24 23:24:10

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