Invention Grant
- Patent Title: Automated anomaly detection for event-based system
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Application No.: US15224493Application Date: 2016-07-29
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Publication No.: US10552728B2Publication Date: 2020-02-04
- Inventor: Adam Oliner , Zidong Yang , Sinduja Sreshta
- Applicant: Splunk, Inc.
- Applicant Address: US CA San Francisco
- Assignee: SPLUNK INC.
- Current Assignee: SPLUNK INC.
- Current Assignee Address: US CA San Francisco
- Agency: Shook, Hardy & Bacon, L.L.P.
- Main IPC: G06N3/04
- 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.
Public/Granted literature
- US20180032862A1 AUTOMATED ANOMALY DETECTION FOR EVENT-BASED SYSTEM Public/Granted day:2018-02-01
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