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11.
公开(公告)号:US11620300B2
公开(公告)日:2023-04-04
申请号:US16147337
申请日:2018-09-28
Applicant: Splunk Inc.
Inventor: Ricky Gene Burnett , Dipock Das , Steven Shaun McIntyre , Darrell Sano
IPC: G06F16/248 , G06N20/00 , G06F16/28 , G06F16/2458
Abstract: Machine data is collected from multiple sources of an operating environment such as an information technology system, factory floor, or the like, into a data intake and query system, in one embodiment. Metrics representative of the environment are included in or derived from the data. Users may interact with an interface to depict a representation of various metrics and interdependencies and that depiction is reflected in a computer storage model. Changes to the computer storage model based on the user interaction may also result in training of a machine learning model according to the user interaction, the machine learning model configured to determine a prediction, classification or clustering of a result of a first search query by utilizing a result of at least a second search query as input to the machine learning model.
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12.
公开(公告)号:US10885026B2
公开(公告)日:2021-01-05
申请号:US15663720
申请日:2017-07-29
Applicant: Splunk Inc.
Inventor: Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
IPC: G06F16/2452 , G06N5/04 , G06F16/2455 , G06F16/2458 , G06N20/10 , G06F16/33 , G06N3/08 , G06N5/02 , G06F40/30 , G06F40/35 , G06F40/186
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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13.
公开(公告)号:US20190034555A1
公开(公告)日:2019-01-31
申请号:US15665104
申请日:2017-07-31
Applicant: Splunk Inc.
Inventor: Dipock Das , Aungon Nag Radon , Dayanand Pochugari , Adam Oliner , Nikesh Padakanti , Anand Srinivasabagavathar , Neeraj Verma
Abstract: In various embodiments, a natural language (NL) application enables users to more effectively access various data storage systems based on NL requests. As described, the NL application includes functionality for selecting an optimal interpretation algorithm, generating a dashboard, and/or generating an alert based on an NL request. Advantageously, the operations performed by the NL application reduce the amount of time and user effort associated with accessing data storage systems and increase the likelihood of properly addressing NL requests.
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14.
公开(公告)号:US20190034500A1
公开(公告)日:2019-01-31
申请号:US15665118
申请日:2017-07-31
Applicant: Splunk Inc.
Inventor: Dipock Das , Dayanand Pochugari , Aungon Nag Radon , Adam Oliner , Nikesh Padakanti , Roussi Roussev
IPC: G06F17/30
Abstract: In various embodiments, a natural language (NL) application enables users to more effectively access various data storage systems based on NL requests. As described, the NL application includes functionality for selecting an optimal interpretation algorithm, generating a dashboard, and/or generating an alert based on an NL request. Advantageously, the operations performed by the NL application reduce the amount of time and user effort associated with accessing data storage systems and increase the likelihood of properly addressing NL requests.
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15.
公开(公告)号:US20190034498A1
公开(公告)日:2019-01-31
申请号:US15663721
申请日:2017-07-29
Applicant: Splunk Inc.
Inventor: Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
CPC classification number: G06F16/248 , G06F16/2423 , G06F16/243 , G06F16/24522 , G06N3/08 , G06N5/022 , G06N5/046 , G06N20/10
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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公开(公告)号:US11914588B1
公开(公告)日:2024-02-27
申请号:US17943037
申请日:2022-09-12
Applicant: Splunk Inc.
Inventor: Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
IPC: G06F16/2453 , G06N20/00 , G06F16/248 , G06F16/2452 , G06N5/046 , G06N3/08 , G06N5/022 , G06N20/10
CPC classification number: G06F16/24534 , G06F16/248 , G06F16/24522 , G06N3/08 , G06N5/022 , G06N5/046 , G06N20/00 , G06N20/10
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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公开(公告)号:US11645471B1
公开(公告)日:2023-05-09
申请号:US17175240
申请日:2021-02-12
Applicant: SPLUNK INC.
Inventor: Dipock Das , Dayanand Pochugari , Aungon Nag Radon
IPC: G06F40/30 , G06N20/00 , G06F40/295 , G06F40/247 , G06F40/205 , G06F3/0482
CPC classification number: G06F40/30 , G06F40/247 , G06F40/295 , G06N20/00 , G06F3/0482 , G06F40/205
Abstract: Various embodiments of the present application set forth a computer-implemented method that includes processing a first natural language (NL) request, where the first NL request includes a first artifact. The method further includes determining that a first relationship, associated with the first artifact and useable to process the first NL request, is unavailable in a first NL language processing system. The method further includes generating a first data relationship recommendation based on the first NL request. In addition, the method includes causing the first data relationship recommendation to be provided to a user.
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18.
公开(公告)号:US11494395B2
公开(公告)日:2022-11-08
申请号:US15665118
申请日:2017-07-31
Applicant: Splunk Inc.
Inventor: Dipock Das , Dayanand Pochugari , Aungon Nag Radon , Adam Oliner , Nikesh Padakanti , Roussi Roussev
IPC: G06F16/248 , G06F16/242 , G06F16/2452 , G06N5/04 , G06N5/02
Abstract: In various embodiments, a natural language (NL) application enables users to more effectively access various data storage systems based on NL requests. As described, the NL application includes functionality for selecting an optimal interpretation algorithm, generating a dashboard, and/or generating an alert based on an NL request. Advantageously, the operations performed by the NL application reduce the amount of time and user effort associated with accessing data storage systems and increase the likelihood of properly addressing NL requests.
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公开(公告)号:US11461320B2
公开(公告)日:2022-10-04
申请号:US16790554
申请日:2020-02-13
Applicant: Splunk Inc.
Inventor: Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
IPC: G06F16/2453 , G06N20/00 , G06F16/248 , G06F16/2452 , G06N5/04 , G06N3/08 , G06N5/02 , G06N20/10
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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公开(公告)号:US11120344B2
公开(公告)日:2021-09-14
申请号:US15663725
申请日:2017-07-29
Applicant: Splunk Inc.
Inventor: Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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