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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：US11514278B2
公开(公告)日：2022-11-29
申请号：US17029365
申请日：2020-09-23
Applicant: SPLUNK INC.
Inventor： Manish Sainani , Sergey Slepian , Di Lu , Adam Oliner , Jacob Leverich , Iryna Vogler-Ivashchanka , Iman Makaremi
Abstract: Embodiments of the present invention are directed to facilitating data preprocessing for machine learning. In accordance with aspects of the present disclosure, a training set of data is accessed. A preprocessing query specifying a set of preprocessing parameter values that indicate a manner in which to preprocess the training set of data is received. Based on the preprocessing query, a preprocessing operation is performed to preprocess the training set of data in accordance with the set of preprocessing parameter values to obtain a set of preprocessed data. The set of preprocessed data can be provided for presentation as a preview. Based on an acceptance of the set of preprocessed data, the set of preprocessed data is used to train a machine learning model that can be subsequently used to predict data.
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3.发明授权公开(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：US11314799B2
公开(公告)日：2022-04-26
申请号：US15224491
申请日：2016-07-29
Applicant: Splunk, Inc.
Inventor： Adam Oliner
Abstract: Described herein are technologies that facilitate effective use (e.g., indexing and searching) of non-text machine data (e.g., audio/visual data) with text-based indexes of an event-based machine-data intake and query system.
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Patent Agency Ranking
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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7.发明申请公开(公告)号：US20200183930A1
公开(公告)日：2020-06-11
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 , G06F16/2452 , G06F16/248 , G06N20/00 , G06N20/10 , G06N5/02 , G06N3/08 , G06N5/04
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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8.发明申请公开(公告)号：US20190034430A1
公开(公告)日：2019-01-31
申请号：US15663722
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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公开(公告)号：US20180032861A1
公开(公告)日：2018-02-01
申请号：US15224489
申请日：2016-07-29
Applicant: Splunk, Inc.
Inventor： Adam Oliner , Zidong Yang , Sinduja Sreshta
IPC: G06N3/08
CPC classification number: G06N3/0445 , G06F17/276 , G06Q10/0637
Abstract: Described herein is a technology that facilitates the production of and the use of automated datagens for event-based. A datagen (i.e., data-generator or data generation system) is a component, module, or subsystem of computer systems that searches, monitors, and analyzes machine data. A datagen produces events that are further processed in various ways for subsequent use (such as searching, monitoring, and analysis).
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公开(公告)号：US11921799B1
公开(公告)日：2024-03-05
申请号：US18162632
申请日：2023-01-31
Applicant: Splunk Inc.
Inventor： Iman Makaremi , Gyanendra Rana , Iryna Vogler-Ivashchanka , Adam Oliner , Harsh Keswani , Manish Sainani , Alexander Kim
IPC: H04L41/069 , G06F16/2458 , G06F16/951 , G06F40/30 , H04L41/0686 , H04L67/01 , H04L67/141
CPC classification number: G06F16/951 , G06F16/2471 , G06F40/30 , H04L41/0686 , H04L41/069 , H04L67/01 , H04L67/141
Abstract: Operational machine components of an information technology (IT) or other microprocessor- or microcontroller-permeated environment generate disparate forms of machine data. Network connections are established between these components and processors of an automatic data intake and query system (DIQS). The DIQS conducts network transactions on a periodic and/or continuous basis with the machine components to receive the disparate data and ingest certain of the data as measurement entries of a DIQS metrics datastore that is searchable for DIQS query processing. The DIQS may receive search queries to process against the received and ingested data via an exposed network interface. In one example embodiment, a query building component conducts a user interface using a network attached client device. The query building component may elicit search criteria via the user interface using a natural language interface, construct a proper query therefrom, and present new information based on results returned from the DIQS.
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