-
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.
-
公开(公告)号：US20180032862A1
公开(公告)日：2018-02-01
申请号：US15224493
申请日：2016-07-29
Applicant: Splunk, Inc.
Inventor： Adam Oliner , Zidong Yang , Sinduja Sreshta
CPC classification number: G06N3/0445 , G06F16/2453 , G06F17/276 , G06Q10/0637
Abstract: Described herein is a technology that facilitates the production of and the use of automated datagens for event-based systems. 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. Existing datagens are not capable of detecting an anomaly in machine data. An anomaly is a variance in the input data stream that exceeds some acceptable amount of deviation from the norm (i.e., standard, expectation, etc.). An embodiment of datagen, in accordance with the technology described herein, detects anomalies in the input machine data.
-
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.
-
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.
-
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).
-
Patent Agency Ranking
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.
-
公开(公告)号：US10552728B2
公开(公告)日：2020-02-04
申请号：US15224493
申请日：2016-07-29
Applicant: Splunk, Inc.
Inventor： Adam Oliner , Zidong Yang , Sinduja Sreshta
IPC: G06N3/04 , G06F17/27 , G06Q10/06 , G06F16/2453
Abstract: Described herein is a technology that facilitates the production of and the use of automated datagens for event-based systems. 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. Existing datagens are not capable of detecting an anomaly in machine data. An anomaly is a variance in the input data stream that exceeds some acceptable amount of deviation from the norm (i.e., standard, expectation, etc.). An embodiment of datagen, in accordance with the technology described herein, detects anomalies in the input machine data.
-
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.
-
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.
-
公开(公告)号：US20200090027A1
公开(公告)日：2020-03-19
申请号：US16692144
申请日：2019-11-22
Applicant: SPLUNK INC.
Inventor： Adam Oliner , Zidong Yang , Sinduja Sreshta
IPC: G06N3/04 , G06F17/27 , G06Q10/06 , G06F16/2453
Abstract: Described herein is a technology that facilitates the production of and the use of automated datagens for event-based systems. 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. Existing datagens are not capable of detecting an anomaly in machine data. An anomaly is a variance in the input data stream that exceeds some acceptable amount of deviation from the norm (i.e., standard, expectation, etc.). An embodiment of datagen, in accordance with the technology described herein, detects anomalies in the input machine data.
-
-
-
-
-
-
-
-
-
Search Results
16
records
(took 0.03 seconds)
