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

IPC: G06N5/04 ,  H04L29/06

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：US11636311B2

公开(公告)日：2023-04-25

申请号：US16692144

申请日：2019-11-22

Applicant: SPLUNK INC.

Inventor： Adam Oliner ,  Zidong Yang ,  Sinduja Sreshta

IPC: G06N3/04 ,  G06Q10/0637 ,  G06F16/2453 ,  G06F40/274

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：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.

公开(公告)号：US11227208B2

公开(公告)日：2022-01-18

申请号：US15224489

申请日：2016-07-29

Applicant: Splunk, Inc.

Inventor： Adam Oliner ,  Zidong Yang ,  Sinduja Sreshta

IPC: G06N3/04 ,  G06N20/00 ,  G06Q10/06 ,  G06F40/274

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).

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.

公开(公告)号：US10685279B2

公开(公告)日：2020-06-16

申请号：US15420754

申请日：2017-01-31

Applicant: SPLUNK INC.

Inventor： Adam Jamison Oliner ,  Nghi Huu Nguyen ,  Jacob Leverich ,  Zidong Yang

IPC: G06F17/00 ,  G06N3/04 ,  G06F16/26 ,  G06F16/25

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.