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公开(公告)号:US09760240B2
公开(公告)日:2017-09-12
申请号:US14859233
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: G06F15/16 , G06F3/0481 , G06T11/20 , G06F17/30 , H04L29/08
CPC classification number: G06F3/0481 , G06F3/04812 , G06F17/30548 , G06F17/30554 , G06Q10/00 , G06T11/206 , H04L67/1095
Abstract: Techniques are disclosed for providing a graphical user interface (GUI) for displaying and configuring adaptive or static thresholds for Key Performance Indicators (KPIs). The GUI may include one or more presentation schedules that may display threshold information associated with time policies. Each presentation schedule may include multiple time slots and span a portion of one or more time cycles. Some of the time slots may be associated with a specific time policy and may have a unifying appearance that distinguishes the time slots from timeslots associated with other time policies. The presentation schedules may arrange the time slots in a time grid arrangement (e.g., calendar grid view) or a graph arrangement with depictions (e.g., points, lines) that may illustrate KPI values and threshold markers that may illustrate the threshold values.
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公开(公告)号:US20170220633A1
公开(公告)日:2017-08-03
申请号:US15012757
申请日:2016-02-01
Applicant: Splunk Inc.
Inventor: Michael Porath , Simon Foster Fishel , Adam Jamison Oliner , Clark Eugene Mullen , Siegfried Puchbauer-Schnabel , Marshall Chalmers Agnew
IPC: G06F17/30 , G06F3/0482
CPC classification number: G06F16/248 , G06F9/452 , G06F9/542
Abstract: A modular visualization framework registers definitions for a variety of visualization types. The definitions are tagged with visualization characteristics. During a working session, likely interactive, a user identifies a search query used to produce data to be visualized. The working context, including the search query and data produced by its execution, is tagged for its visualization characteristics. Information about the working context, including its visualization characteristics, is then used to produce a customized list of candidates suited for the working context from which the user may select a visualization type.
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公开(公告)号:US12198021B2
公开(公告)日:2025-01-14
申请号:US17190751
申请日:2021-03-03
Applicant: Splunk Inc.
Inventor: Manish Sainani , Sergey Slepian , Iman Makaremi , Adam Jamison Oliner , Jacob Leverich , Di Lu
Abstract: Disclosed herein is a computer-implemented tool that facilitates data analysis by use of machine learning (ML) techniques. The tool cooperates with a data intake and query system and provides a graphical user interface (GUI) that enables a user to train and apply a variety of different ML models on user-selected datasets of stored machine data. The tool can provide active guidance to the user, to help the user choose data analysis paths that are likely to produce useful results and to avoid data analysis paths that are less likely to produce useful results.
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公开(公告)号:US12099517B1
公开(公告)日:2024-09-24
申请号:US18300936
申请日:2023-04-14
Applicant: Splunk Inc.
Inventor: Jesse Brandau Miller , Katherine Kyle Feeney , Yuan Xie , Steve Zhang , Adam Jamison Oliner , Jindrich Dinga , Jacob Leverich
CPC classification number: G06F16/26
Abstract: Systems and methods include causing presentation of a first cluster in association with an event of the first cluster, the first cluster from a first set of clusters of events. Each event includes a time stamp and event data. Based on the presentation of the first cluster, an extraction rule corresponding to the event of the first cluster is received from a user. Similarities in the event data between the events are determined based on the received extraction rule. The events are grouped into a second set of clusters based on the determined similarities. Presentation is caused of a second cluster in association with an event of the second cluster, where the second cluster is from the second set of clusters.
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公开(公告)号:US11915156B1
公开(公告)日:2024-02-27
申请号:US17384519
申请日:2021-07-23
Applicant: Splunk Inc.
Inventor: Adam Jamison Oliner , Aungon Nag Radon , Manwah Wong , Manish Sainani , Harsh Keswani
IPC: G06N5/04 , G06N20/00 , G06F16/2458 , G06F16/26
CPC classification number: G06N5/04 , G06F16/2465 , G06F16/26 , G06N20/00
Abstract: Embodiments of the present invention are directed to facilitating event forecasting. In accordance with aspects of the present disclosure, a set of events determined from raw machine data is obtained. The events are analyzed to identify leading indicators that indicate a future occurrence of a target event, wherein the leading indicators occur during a search period of time the precedes a warning period of time, thereby providing time for an action to be performed prior to an occurrence of a predicted target event. At least one of the leading indicators is used to predict a target event. An event notification is provided indicating the prediction of the target event.
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公开(公告)号:US11875032B1
公开(公告)日:2024-01-16
申请号:US17732131
申请日:2022-04-28
Applicant: Splunk Inc.
Inventor: Manish Sainani , Adam Jamison Oliner , Jacob Barton Leverich , Leonid Alekseyev , Sonal Maheshwari
IPC: G06F15/16 , G06F3/0488 , G06F16/24 , G06F16/2458
CPC classification number: G06F3/0488 , G06F16/24 , G06F16/2462 , G06F16/2477
Abstract: Techniques are disclosed for anomaly detection based on a predicted value. 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.
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公开(公告)号:US11836579B2
公开(公告)日:2023-12-05
申请号:US16573745
申请日:2019-09-17
Applicant: Splunk Inc.
Inventor: Pradeep Baliganapalli Nagaraju , Adam Jamison Oliner , Brian Matthew Gilmore , Erick Anthony Dean , Jiahan Wang
Abstract: Disclosed is a technique that can be performed by an electronic device. The electronic device can generate time-stamped events, extract training data from the time-stamped events, and send the training data over a network to a remote computer. The electronic device can receive model data generated by the remote computer from the training data by use of a machine learning process, update a local model of the electronic device based on the received model data, and generate an output by processing locally sourced data of the electronic device with the updated local model.
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公开(公告)号:US11595274B1
公开(公告)日:2023-02-28
申请号:US16725935
申请日:2019-12-23
Applicant: Splunk Inc.
Inventor: Pradeep B. Nagaraju , Adam Jamison Oliner , Brian Matthew Gilmore , Erick Anthony Dean , Jiahan Wang
IPC: G06F15/177 , H04L43/028 , G06F16/9038 , G06F16/901 , H04L41/14 , G06F16/2458 , H04L43/08 , G06N20/00 , G06N5/047
Abstract: Disclosed is a technique that can be performed by a server computer system. The technique can include obtaining data from each of multiple endpoint devices to form global data. The global data can be generated by the endpoint devices in accordance with local instructions in each of the endpoint devices. The technique further includes generating global instructions based on the global data and sending the global instructions to a particular endpoint device. The global instructions configure the particular endpoint device to perform a data analytic operation that analyzes events. The events can include raw data generated by a sensor of the particular endpoint device.
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公开(公告)号:US11093837B2
公开(公告)日:2021-08-17
申请号:US15419918
申请日:2017-01-30
Applicant: SPLUNK INC.
Inventor: Adam Jamison Oliner , Aungon Nag Radon , Manwah Wong , Manish Sainani , Harsh Keswani
IPC: G06N5/04 , G06N20/00 , G06F16/2458 , G06F16/26
Abstract: Embodiments of the present invention are directed to facilitating event forecasting. In accordance with aspects of the present disclosure, a set of events determined from raw machine data is obtained. The events are analyzed to identify leading indicators that indicate a future occurrence of a target event, wherein the leading indicators occur during a search period of time the precedes a warning period of time, thereby providing time for an action to be performed prior to an occurrence of a predicted target event. At least one of the leading indicators is used to predict a target event. An event notification is provided indicating the prediction of the target event.
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公开(公告)号:US20210192395A1
公开(公告)日:2021-06-24
申请号:US17190751
申请日:2021-03-03
Applicant: Splunk Inc.
Inventor: Manish Sainani , Sergey Slepian , Iman Makaremi , Adam Jamison Oliner , Jacob Leverich , Di Lu
Abstract: Disclosed herein is a computer-implemented tool that facilitates data analysis by use of machine learning (ML) techniques. The tool cooperates with a data intake and query system and provides a graphical user interface (GUI) that enables a user to train and apply a variety of different ML models on user-selected datasets of stored machine data. The tool can provide active guidance to the user, to help the user choose data analysis paths that are likely to produce useful results and to avoid data analysis paths that are less likely to produce useful results.
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