公开(公告)号：US20190034498A1

公开(公告)日：2019-01-31

申请号：US15663721

申请日：2017-07-29

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Neeraj Verma ,  Nikesh Padakanti ,  Aungon Nag Radon ,  Anand Srinivasabagavathar ,  Adam Oliner

IPC: G06F17/30 ,  G06N3/08

CPC classification number: G06F16/248 ,  G06F16/2423 ,  G06F16/243 ,  G06F16/24522 ,  G06N3/08 ,  G06N5/022 ,  G06N5/046 ,  G06N20/10

Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.

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

IPC: G06N3/08 ,  G06N5/02

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.