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公开(公告)号：US20190236210A1
公开(公告)日：2019-08-01
申请号：US15884090
申请日：2018-01-30
Applicant: SPLUNK INC.
Inventor： Iman Makaremi , Gyanendra Rana , Iryna Vogler-Ivashchanka , Adam Oliner , Harsh Keswani , Manish Sainani , Alexander Kim
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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公开(公告)号：US20190034767A1
公开(公告)日：2019-01-31
申请号：US15665224
申请日：2017-07-31
Applicant: Splunk Inc.
Inventor： Manish Sainani , Sergey Slepian , Di Lu , Adam Oliner , Jacob Leverich , Iryna Vogler-Ivashchanka , Iman Makaremi
CPC classification number: G06K9/6289 , G06F9/455 , G06F16/2465 , G06F2216/03 , G06K9/00067 , G06K9/00979 , G06K9/6253 , G06K9/6262 , G06N5/025 , G06N20/00
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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公开(公告)号：US11960575B1
公开(公告)日：2024-04-16
申请号：US17975122
申请日：2022-10-27
Applicant: Splunk Inc.
Inventor： Manish Sainani , Sergey Slepian , Di Lu , Adam Oliner , Jacob Leverich , Iryna Vogler-Ivashchanka , Iman Makaremi
IPC: G06F7/00 , G06F16/2458 , G06F18/21 , G06F18/25 , G06F18/40 , G06N5/025 , G06N20/00 , G06V10/94 , G06V40/12 , G06F9/455
CPC classification number: G06F18/251 , G06F16/2465 , G06F18/217 , G06F18/40 , G06N5/025 , G06N20/00 , G06V10/95 , G06V40/1347 , G06F9/455 , G06F2216/03
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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公开(公告)号：US11593400B1
公开(公告)日：2023-02-28
申请号：US17158638
申请日：2021-01-26
Applicant: Splunk Inc.
Inventor： Adam Jamison Oliner , Kristal Curtis , Iman Makaremi , Ross Andrew Lazerowitz
IPC: H04L41/0604 , G06F16/28 , G06F16/21 , G06F9/54 , H04L41/22 , H04L41/069 , H04L41/5009 , H04L41/0681 , G06Q10/0639 , G06Q10/20 , G06F16/903 , G06Q10/10 , H04L67/50
Abstract: Machine data of an operating environment is conveyed by a network to a data intake and query system (DIQS) which reflects the machine data as timestamped entries of a field-searchable datastore. Monitoring functionality may search the machine data to identify notable event instances. A notable event processing system correlates the notable event instance to one or more triaging models which are executed against the notable event to produce a modeled result. Information of the received notable event and the modeled results are combined into an enhanced representation of a notable event instance. The enhanced representation conditions downstream processing to automatically perform or assist triaging of notable event instances to optimize application of computing resources to highest priority conditions in the operating environment.
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公开(公告)号：US10726079B2
公开(公告)日：2020-07-28
申请号：US15884090
申请日：2018-01-30
Applicant: SPLUNK INC.
Inventor： Iman Makaremi , Gyanendra Rana , Iryna Vogler-Ivashchanka , Adam Oliner , Harsh Keswani , Manish Sainani , Alexander Kim
IPC: G06F15/173 , G06F16/951 , H04L12/24 , H04L29/08 , H04L29/06 , G06F16/2458 , G06F40/30
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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Patent Agency Ranking
6.发明申请公开(公告)号：US20180365309A1
公开(公告)日：2018-12-20
申请号：US16049757
申请日：2018-07-30
Applicant: Splunk Inc.
Inventor： Adam Jamison Oliner , Kristal Curtis , Iman Makaremi , Ross Andrew Lazerowitz
IPC: G06F17/30
Abstract: Machine data of an operating environment is conveyed by a network to a data intake and query system (DIQS) which reflects the machine data as timestamped entries of a field-searchable datastore. Monitoring functionality may search the machine data to identify notable event instances. A notable event processing system correlates the notable event instance to one or more triaging models which are executed against the notable event to produce a modeled result. Information of the received notable event and the modeled results are combined into an enhanced representation of a notable event instance. The enhanced representation conditions downstream processing to automatically perform or assist triaging of notable event instances to optimize application of computing resources to highest priority conditions in the operating environment.
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公开(公告)号：US11886464B1
公开(公告)日：2024-01-30
申请号：US18100329
申请日：2023-01-23
Applicant: Splunk Inc.
Inventor： Adam Jamison Oliner , Kristal Curtis , Iman Makaremi , Ross Andrew Lazerowitz
IPC: H04L41/0604 , G06F16/28 , G06F16/21 , G06F9/54 , H04L41/22 , H04L41/069 , H04L41/5009 , H04L41/0681 , G06Q10/0639 , G06Q10/20 , G06F16/903 , G06Q10/10 , H04L67/50
CPC classification number: G06F16/282 , G06F9/542 , G06F16/213 , G06F16/903 , G06Q10/06393 , G06Q10/10 , G06Q10/20 , H04L41/0604 , H04L41/069 , H04L41/0681 , H04L41/22 , H04L41/5009 , H04L67/535
Abstract: Machine data of an operating environment is conveyed by a network to a data intake and query system (DIQS) which reflects the machine data as timestamped entries of a field-searchable datastore. Monitoring functionality may search the machine data to identify notable event instances. A notable event processing system correlates the notable event instance to one or more triaging models which are executed against the notable event to produce a modeled result. Information of the received notable event and the modeled results are combined into an enhanced representation of a notable event instance. The enhanced representation conditions downstream processing to automatically perform or assist triaging of notable event instances to optimize application of computing resources to highest priority conditions in the operating environment.
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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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公开(公告)号：US10956834B2
公开(公告)日：2021-03-23
申请号：US16707845
申请日：2019-12-09
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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10.发明授权公开(公告)号：US10942960B2
公开(公告)日：2021-03-09
申请号：US16049748
申请日：2018-07-30
Applicant: Splunk Inc.
Inventor： Adam Jamison Oliner , Kristal Curtis , Iman Makaremi , Ross Andrew Lazerowitz
IPC: G06F16/338 , G06F9/451 , G06F16/38 , G06F16/33 , G06F9/54 , H04L12/24 , G06Q10/06 , G06Q10/00 , G06F16/903
Abstract: Network connections are established between machines of an operating environment to be monitored and a server group of a data intake and query system (DIQS). Data reflecting machine and component operations of the environment is conveyed via the network to the DIQS where it is reflected as timestamped entries in a field-searchable datastore. Monitoring components may search the datastore and identify and record instances of notable events. Triaging models are selectively applied against the notable event instances to produce an enhanced notable event instance representation with modeled results effective to automatically perform or assist in triaging the notable events so they are dispatched in an optimal, effective, and efficient, manner.
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