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    PREDICTIVE SYSTEM REMEDIATION
    1.
    发明申请
    PREDICTIVE SYSTEM REMEDIATION 审中-公开

    公开(公告)号：WO2021025828A1

    公开(公告)日：2021-02-11

    申请号：PCT/US2020/041912

    申请日：2020-07-14

    Applicant: ORACLE INTERNATIONAL CORPORATION

    Inventor： SUTTON, Eric ,  GARVEY, Dustin ,  SALUNKE, Sampanna Shahaji ,  SHAFT, Uri

    IPC: G06F11/07 ,  G06F11/34

    Abstract: Techniques for predictive system remediation are disclosed. Based on attributes associated with applications of one or more system-selected remedial actions to one or more problematic system behaviors in a system (e.g., a database system), the system determines a predicted effectiveness of one or more future applications of a remedial action to a particular problematic system behavior, as of one or more future times. The system determines that the predicted effectiveness of the one or more future applications of the remedial action is positive but does not satisfy a performance criterion. Responsive to determining that the predicted effectiveness is positive but does not satisfy the performance criterion, the system generates a notification corresponding to the predicted effectiveness not satisfying the performance criterion. The system applies the remedial action to the particular problematic system behavior, despite already determining that the predicted effectiveness does not satisfy the one or more performance criteria.

    METHOD FOR CREATING PERIOD PROFILE FOR TIME-SERIES DATA WITH RECURRENT PATTERNS
    2.
    发明申请
    METHOD FOR CREATING PERIOD PROFILE FOR TIME-SERIES DATA WITH RECURRENT PATTERNS 审中-公开
    创建具有复现模式的时间序列数据的周期轮廓的方法

    公开(公告)号：WO2017151504A1

    公开(公告)日：2017-09-08

    申请号：PCT/US2017/019691

    申请日：2017-02-27

    Applicant: ORACLE INTERNATIONAL CORPORATION

    Inventor： GARVEY, Dustin ,  SHAFT, Uri ,  WONG, Lik ,  KAVAL, Maria

    IPC: G06F17/18 ,  G06Q10/04 ,  G06F21/55 ,  H04L29/06

    CPC classification number: G06T11/206 ,  G06F17/18 ,  G06F21/55 ,  G06K9/00536 ,  G06K9/628 ,  G06N20/00 ,  G06Q10/04 ,  G06Q10/06 ,  G06Q10/0631 ,  G06Q10/06315 ,  G06Q10/1093 ,  G06Q30/0202 ,  G06T11/001

    Abstract: Techniques are described for generating period profiles. According to an embodiment, a set of time series data is received, where the set of time series data includes data spanning a plurality of time windows having a seasonal period. Based at least in part on the set of time-series data, a first set of sub-periods of the seasonal period is associated with a particular class of seasonal pattern. A profile for a seasonal period that identifies which sub-periods of the seasonal period are associated with the particular class of seasonal pattern is generated and stored, in volatile or non-volatile storage. Based on the profile, a visualization is generated for at least one sub-period of the first set of sub-periods of the seasonal period that indicates that the at least one sub-period is part of the particular class of seasonal pattern.

    Abstract translation: 描述了用于生成周期分布的技术。 根据一个实施例，接收一组时间序列数据，其中该组时间序列数据包括跨越具有季节周期的多个时间窗口的数据。 至少部分基于一组时间序列数据，季节周期的第一组子周期与特定类别的季节模式相关联。 生成并存储季节周期的哪个子周期与特定类型的季节性模式相关联的季节周期的简档，并存储在易失性或非易失性存储器中。 基于该简档，为季节周期的第一组子周期的至少一个子周期生成可视化，该可视化指示该至少一个子周期是特定类别的季节模式的一部分。 p>

    SYSTEM FOR DETECTING AND CHARACTERIZING SEASONS
    3.
    发明申请
    SYSTEM FOR DETECTING AND CHARACTERIZING SEASONS 审中-公开
    用于检测和表征季节的系统

    公开(公告)号：WO2017151475A1

    公开(公告)日：2017-09-08

    申请号：PCT/US2017/019613

    申请日：2017-02-27

    Applicant: ORACLE INTERNATIONAL CORPORATION

    Inventor： GARVEY, Dustin ,  SHAFT, Uri ,  WONG, Lik ,  GANESH, Amit

    IPC: G06F17/18 ,  G06Q10/04 ,  G06F21/55 ,  H04L29/06

    CPC classification number: G06F16/285 ,  G06F16/2477 ,  G06F17/18 ,  G06F21/55 ,  G06N20/00 ,  G06Q10/04 ,  G06Q10/06315 ,  G06Q30/0201 ,  G06Q30/0202

    Abstract: Techniques are described for characterizing and summarizing seasonal patterns detected within a time series. According to an embodiment, a set of time series data is analyzed to identify a plurality of instances of a season, where each instance corresponds to a respective sub-period within the season. A first set of instances from the plurality of instances are associated with a particular class of seasonal pattern. After classifying the first set of instances, a second set of instances may remain unclassified or otherwise may not be associated with the particular class of seasonal pattern. Based on the first and second set of instances, a summary may be generated that identifies one or more stretches of time that are associated with the particular class of seasonal pattern. The one or more stretches of time may span at least one sub-period corresponding to at least one instance in the second set of instances.

    Abstract translation: 描述了用于表征和总结时间序列内检测到的季节性模式的技术。 根据一个实施例，分析一组时间序列数据以识别季节的多个实例，其中每个实例对应于季节内的相应子时段。 来自多个实例的第一组实例与特定类别的季节模式相关联。 在对第一组实例进行分类之后，第二组实例可以保持未分类或否则可能不与特定类型的季节模式相关联。 基于第一组实例和第二组实例，可以生成标识与特定类型的季节模式相关联的一个或多个时间段的概要。 一个或多个时间段可跨越对应于第二组实例中的至少一个实例的至少一个子时段。

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