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公开(公告)号：US10726354B2
公开(公告)日：2020-07-28
申请号：US15143335
申请日：2016-04-29
Applicant: Splunk Inc.
Inventor： Manish Sainani , Nghi Huu Nguyen , Zidong Yang
IPC: G06N20/20 , G06N20/00 , G06F16/242 , G06F16/22 , G06F16/2458 , G06F16/248
Abstract: Embodiments of the present invention are directed to facilitating concurrent forecasting associating with multiple time series data sets. In accordance with aspects of the present disclosure, a request to perform a predictive analysis in association with multiple time series data sets is received. Thereafter, the request is parsed to identify each of the time series data sets to use in predictive analysis. For each time series data set, an object is initiated to perform the predictive analysis for the corresponding time series data set. Generally, the predictive analysis predicts expected outcomes based on the corresponding time series data set. Each object is concurrently executed to generate expected outcomes associated with the corresponding time series data set, and the expected outcomes associated with each of the corresponding time series data sets are provided for display.
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公开(公告)号：US20180089561A1
公开(公告)日：2018-03-29
申请号：US15420754
申请日：2017-01-31
Applicant: SPLUNK INC.
Inventor： Adam Jamison Oliner , Nghi Huu Nguyen , Jacob Leverich , Zidong Yang
Abstract: Systems and methods include obtaining a set of events, each event in the set of events comprising a time-stamped portion of raw machine data, the raw machine data produced by one or more components within an information technology or security environment and reflects activity within the information technology or security environment. Thereafter, a first neural network is used to automatically identify variable text to extract as a field from the set of events. An indication of the variable text is provided as a field extraction recommendation, for example, to a user device for presentation to a user.
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公开(公告)号：US20200311518A1
公开(公告)日：2020-10-01
申请号：US16901985
申请日：2020-06-15
Applicant: SPLUNK Inc.
Inventor： Adam Jamison Oliner , Nghi Huu Nguyen , Jacob Leverich , Zidong Yang
Abstract: Systems and methods include obtaining a set of events, each event in the set of events comprising a time-stamped portion of raw machine data, the raw machine data produced by one or more components within an information technology or security environment and reflects activity within the information technology or security environment. Thereafter, a first neural network is used to automatically identify variable text to extract as a field from the set of events. An indication of the variable text is provided as a field extraction recommendation, for example, to a user device for presentation to a user.
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公开(公告)号：US20170220672A1
公开(公告)日：2017-08-03
申请号：US15010732
申请日：2016-01-29
Applicant: Splunk Inc.
Inventor： Manish Sainani , Nghi Huu Nguyen , Zidong Yang
Abstract: Embodiments of the present invention are directed to facilitating enhancement of time series prediction. In accordance with aspects of the present disclosure, a set of time series data is determined to have at least one missing data value. Based on the missing data value(s), a predicted missing value is generated for each of the at least one missing data values. The predicted missing value for a missing data value is generated, for example, based on a weighted average of a time series data value preceding the missing data value and a time series data value following the missing data value. The set of time series data and the predicted missing values for each of the at least one missing data values can then be used to determine periodicity associated with the set of time series data.
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公开(公告)号：US11681900B2
公开(公告)日：2023-06-20
申请号：US16901985
申请日：2020-06-15
Applicant: SPLUNK Inc.
Inventor： Adam Jamison Oliner , Nghi Huu Nguyen , Jacob Leverich , Zidong Yang
CPC classification number: G06N3/045 , G06F16/254 , G06F16/26 , G06F2221/2151
Abstract: Systems and methods include obtaining a set of events, each event in the set of events comprising a time-stamped portion of raw machine data, the raw machine data produced by one or more components within an information technology or security environment and reflects activity within the information technology or security environment. Thereafter, a first neural network is used to automatically identify variable text to extract as a field from the set of events. An indication of the variable text is provided as a field extraction recommendation, for example, to a user device for presentation to a user.
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Patent Agency Ranking
公开(公告)号：US20170220938A1
公开(公告)日：2017-08-03
申请号：US15143335
申请日：2016-04-29
Applicant: Splunk Inc.
Inventor： Manish Sainani , Nghi Huu Nguyen , Zidong Yang
Abstract: Embodiments of the present invention are directed to facilitating concurrent forecasting associating with multiple time series data sets. In accordance with aspects of the present disclosure, a request to perform a predictive analysis in association with multiple time series data sets is received. Thereafter, the request is parsed to identify each of the time series data sets to use in predictive analysis. For each time series data set, an object is initiated to perform the predictive analysis for the corresponding time series data set. Generally, the predictive analysis predicts expected outcomes based on the corresponding time series data set. Each object is concurrently executed to generate expected outcomes associated with the corresponding time series data set, and the expected outcomes associated with each of the corresponding time series data sets are provided for display.
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公开(公告)号：US11636397B1
公开(公告)日：2023-04-25
申请号：US17582679
申请日：2022-01-24
Applicant: Splunk Inc.
Inventor： Manish Sainani , Nghi Huu Nguyen , Zidong Yang
IPC: G06N20/00 , G06F16/242 , G06F16/22 , G06F16/2458 , G06F16/248 , G06F16/26
Abstract: Embodiments of the present invention are directed to facilitating concurrent forecasting associating with multiple time series data sets. In accordance with aspects of the present disclosure, a request to perform a predictive analysis in association with multiple time series data sets is received. Thereafter, the request is parsed to identify each of the time series data sets to use in predictive analysis. For each time series data set, an object is initiated to perform the predictive analysis for the corresponding time series data set. Generally, the predictive analysis predicts expected outcomes based on the corresponding time series data set. Each object is concurrently executed to generate expected outcomes associated with the corresponding time series data set, and the expected outcomes associated with each of the corresponding time series data sets are provided for display.
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公开(公告)号：US11501112B1
公开(公告)日：2022-11-15
申请号：US15967435
申请日：2018-04-30
Applicant: SPLUNK, INC.
Inventor： Adam Oliner , Kristal Curtis , Nghi Huu Nguyen , Alexander Johnson
IPC: G06F16/90 , G06K9/62 , G06F11/07 , G06F17/18 , G06N20/00 , G06F16/907 , G06F16/903 , G06F16/28
Abstract: A computerized method of diagnosing a mislabeling of a source type of a received event. The method comprising operations of receiving an event by a source type analysis logic with a data index and query system, wherein the event includes a portion of raw machine data and is associated with a specific point in time, obtaining an original source type assigned to the event and one or more predicted source types. The one or more predicted source types are determined by analysis of a data representation of the event in view of training data and the training data includes a plurality of data representations corresponding to known source types. Additionally, the computerized method also includes an operation of, determining whether the event has been mislabeled and in response to determining the event has been mislabeled, diagnosing a source of the mislabeling.
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公开(公告)号：US11244247B2
公开(公告)日：2022-02-08
申请号：US16904866
申请日：2020-06-18
Applicant: SPLUNK Inc.
Inventor： Manish Sainani , Nghi Huu Nguyen , Zidong Yang
IPC: G06N20/00 , G06F16/242 , G06F16/22 , G06F16/2458 , G06F16/248
Abstract: Embodiments of the present invention are directed to facilitating concurrent forecasting associating with multiple time series data sets. In accordance with aspects of the present disclosure, a request to perform a predictive analysis in association with multiple time series data sets is received. Thereafter, the request is parsed to identify each of the time series data sets to use in predictive analysis. For each time series data set, an object is initiated to perform the predictive analysis for the corresponding time series data set. Generally, the predictive analysis predicts expected outcomes based on the corresponding time series data set. Each object is concurrently executed to generate expected outcomes associated with the corresponding time series data set, and the expected outcomes associated with each of the corresponding time series data sets are provided for display.
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公开(公告)号：US20210042658A1
公开(公告)日：2021-02-11
申请号：US16904866
申请日：2020-06-18
Applicant: SPLUNK Inc.
Inventor： Manish Sainani , Nghi Huu Nguyen , Zidong Yang
IPC: G06N20/00 , G06F16/242 , G06F16/22 , G06F16/2458 , G06F16/248
Abstract: Embodiments of the present invention are directed to facilitating concurrent forecasting associating with multiple time series data sets. In accordance with aspects of the present disclosure, a request to perform a predictive analysis in association with multiple time series data sets is received. Thereafter, the request is parsed to identify each of the time series data sets to use in predictive analysis. For each time series data set, an object is initiated to perform the predictive analysis for the corresponding time series data set. Generally, the predictive analysis predicts expected outcomes based on the corresponding time series data set. Each object is concurrently executed to generate expected outcomes associated with the corresponding time series data set, and the expected outcomes associated with each of the corresponding time series data sets are provided for display.
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