公开(公告)号：US10592093B2

公开(公告)日：2020-03-17

申请号：US14859248

申请日：2015-09-18

Applicant: Splunk Inc.

Inventor： Manish Sainani ,  Adam Jamison Oliner ,  Jacob Barton Leverich ,  Leonid Alekseyev ,  Sonal Barton Maheshwari

IPC: G06F17/30 ,  G06F3/0488 ,  H04L12/24

Abstract: Techniques are disclosed for anomaly detection. A search query can be executed over a period of time to produce values for a key performance indicator (KPI), the search query defining the KPI and deriving a value indicative of the performance of a service at a point in time or during a period of time, the value derived from machine data pertaining to one or more entities that provide the service. A graphical user interface (GUI) enabling a user to indicate a sensitivity setting can be displayed. A user input indicating the sensitivity setting can be received via the GUI. Zero or more of the values as anomalies can be identified in consideration of the sensitivity setting indicated by the user input. A GUI including information related to the values identified as anomalies can be caused to be displayed.

公开(公告)号：US20160103838A1

公开(公告)日：2016-04-14

申请号：US14859248

申请日：2015-09-18

Applicant: Splunk Inc.

Inventor： Manish Sainani ,  Adam Jamison Oliner ,  Jacob Barton Leverich ,  Leonid Alekseyev ,  Sonal Barton Maheshwari

IPC: G06F17/30 ,  G06F3/0488

CPC classification number: G06F3/0488 ,  H04L41/22 ,  H04L41/5012 ,  H04L41/5032 ,  H04L41/5045

Abstract: Techniques are disclosed for anomaly detection. A search query can be executed over a period of time to produce values for a key performance indicator (KPI), the search query defining the KPI and deriving a value indicative of the performance of a service at a point in time or during a period of time, the value derived from machine data pertaining to one or more entities that provide the service. A graphical user interface (GUI) enabling a user to indicate a sensitivity setting can be displayed. A user input indicating the sensitivity setting can be received via the GUI. Zero or more of the values as anomalies can be identified in consideration of the sensitivity setting indicated by the user input. A GUI including information related to the values identified as anomalies can be d

Abstract translation: 公开了用于异常检测的技术。 可以在一段时间内执行搜索查询以产生关键性能指标（KPI）的值，搜索查询定义KPI并且在一个时间点或在一段时间内导出指示服务的性能的值 时间，从提供服务的一个或多个实体的机器数据导出的值。 可以显示使用户能够指示灵敏度设置的图形用户界面（GUI）。 可以通过GUI接收指示灵敏度设置的用户输入。 可以考虑由用户输入指示的灵敏度设置来识别零个或多个作为异常的值。 包括与识别为异常的值相关的信息的GUI可以是d