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    Generating visualizations for search results data containing multiple data dimensions
    11.
    发明授权
    Generating visualizations for search results data containing multiple data dimensions 有权

    公开(公告)号：US10565220B2

    公开(公告)日：2020-02-18

    申请号：US15421408

    申请日：2017-01-31

    Applicant: Splunk Inc.

    Inventor： Michael Porath ,  Marshall C. Agnew ,  Ho Lun Ng ,  Brian Reyes

    IPC: G06F16/20 ,  G06F16/248 ,  G06F16/2458

    Abstract: Techniques and mechanisms are disclosed for generating and causing display of graphical interfaces which enable an interactive and flexible search results visualization process. Based on results data identified in response to execution of a search query, an interface element is displayed which enables users to select a field contained in the results data, also referred to herein as a “dimension” or “facet,” and for which a “faceted” visualization of the results data can be dynamically generated and displayed. As used herein, a faceted visualization refers to a graphical interface including display of at least two separate data visualizations generated based on a selected facet data dimension, where each separate data visualization corresponds to a distinct value of the selected facet dimension.

    Adaptive key performance indicator thresholds
    12.
    发明授权
    Adaptive key performance indicator thresholds 有权

    公开(公告)号：US10235638B2

    公开(公告)日：2019-03-19

    申请号：US14859236

    申请日：2015-09-18

    Applicant: Splunk Inc.

    Inventor： Sonal Maheshwari ,  Manish Sainani ,  Leonid Alekseyev ,  Alan Hardin ,  Jacob Barton Leverich ,  Adam Jamison Oliner ,  Brian Reyes ,  Alok Anant Bhide

    IPC: H04L29/08 ,  G06N99/00

    Abstract: Techniques are disclosed for providing adaptive thresholding technology for Key Performance Indicators (KPIs). Adaptive thresholding technology may automatically assign new values or adjust existing values for one or more thresholds of one or more time policies. Assigning threshold values using adaptive thresholding may involve identifying training data (e.g., historical data, simulated data, or example data) for the time frames and analyzing the training data to identify variations within the data (e.g., patterns, distributions, trends). A threshold value may be determined based on the variations and may be assigned to one or more of the thresholds without additional user intervention.

    GENERATING VISUALIZATIONS FOR SEARCH RESULTS DATA CONTAINING MULTIPLE DATA DIMENSIONS
    16.
    发明申请
    GENERATING VISUALIZATIONS FOR SEARCH RESULTS DATA CONTAINING MULTIPLE DATA DIMENSIONS 审中-公开

    公开(公告)号：US20180218050A1

    公开(公告)日：2018-08-02

    申请号：US15421408

    申请日：2017-01-31

    Applicant: Splunk Inc.

    Inventor： Michael Porath ,  Marshall C. Agnew ,  Ho Lun Ng ,  Brian Reyes

    IPC: G06F17/30 ,  G06F3/0482 ,  G06F3/0488 ,  G06F3/0484

    CPC classification number: G06F16/248 ,  G06F16/2477

    Abstract: Techniques and mechanisms are disclosed for generating and causing display of graphical interfaces which enable an interactive and flexible search results visualization process. Based on results data identified in response to execution of a search query, an interface element is displayed which enables users to select a field contained in the results data, also referred to herein as a “dimension” or “facet,” and for which a “faceted” visualization of the results data can be dynamically generated and displayed. As used herein, a faceted visualization refers to a graphical interface including display of at least two separate data visualizations generated based on a selected facet data dimension, where each separate data visualization corresponds to a distinct value of the selected facet dimension.

    ADAPTIVE KEY PERFORMANCE INDICATOR THRESHOLDS
    17.
    发明申请
    ADAPTIVE KEY PERFORMANCE INDICATOR THRESHOLDS 审中-公开
    自适应关键性能指标阈值

    公开(公告)号：US20160104076A1

    公开(公告)日：2016-04-14

    申请号：US14859236

    申请日：2015-09-18

    Applicant: Splunk Inc.

    Inventor： Sonal Maheshwari ,  Manish Sainani ,  Leonid Alekseyev ,  Alan Hardin ,  Jacob Barton Leverich ,  Adam Jamison Oliner ,  Brian Reyes ,  Alok Anant Bhide

    IPC: G06N99/00

    CPC classification number: G06N99/005

    Abstract: Techniques are disclosed for providing adaptive thresholding technology for Key Performance Indicators (KPIs). Adaptive thresholding technology may automatically assign new values or adjust existing values for one or more thresholds of one or more time policies. Assigning threshold values using adaptive thresholding may involve identifying training data (e.g., historical data, simulated data, or example data) for the time frames and analyzing the training data to identify variations within the data (e.g., patterns, distributions, trends). A threshold value may be determined based on the variations and may be assigned to one or more of the thresholds without additional user intervention.

    Abstract translation: 公开了用于为关键性能指标（KPI）提供自适应阈值技术的技术。 自适应阈值技术可以自动分配新值或调整一个或多个时间策略的一个或多个阈值的现有值。 使用自适应阈值分配阈值可以涉及识别用于时间帧的训练数据（例如，历史数据，模拟数据或示例数据），并且分析训练数据以识别数据内的变化（例如，模式，分布，趋势）。 可以基于变化来确定阈值，并且可以将阈值分配给一个或多个阈值，而无需额外的用户干预。

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