Invention Grant
US09292590B2 Identifying events derived from machine data based on an extracted portion from a first event
有权
基于来自第一事件的提取部分识别从机器数据导出的事件
- Patent Title: Identifying events derived from machine data based on an extracted portion from a first event
- Patent Title (中): 基于来自第一事件的提取部分识别从机器数据导出的事件
-
Application No.: US14691135Application Date: 2015-04-20
-
Publication No.: US09292590B2Publication Date: 2016-03-22
- Inventor: Michael Joseph Baum , R. David Carasso , Robin Kumar Das , Bradley Hall , Brian Philip Murphy , Stephen Phillip Sorkin , Andre David Stechert , Erik M. Swan , Rory Greene , Nicholas Christian Mealy , Christina Frances Regina Noren
- Applicant: Splunk Inc.
- Applicant Address: US CA San Francisco
- Assignee: Splunk Inc.
- Current Assignee: Splunk Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Wong & Rees LLP
- Agent Kirk D. Wong
- Main IPC: G06F17/40
- IPC: G06F17/40 ; G06F17/30 ; G06K9/62 ; G06F17/27 ; G06F11/34

Abstract:
Methods and apparatus consistent with the invention provide the ability to organize and build understandings of machine data generated by a variety of information-processing environments. Machine data is a product of information-processing systems (e.g., activity logs, configuration files, messages, database records) and represents the evidence of particular events that have taken place and been recorded in raw data format. In one embodiment, machine data is turned into a machine data web by organizing machine data into events and then linking events together.
Public/Granted literature
- US20150227612A1 AUTOMATIC CREATION OF RULES FOR IDENTIFYING EVENT BOUNDARIES IN MACHINE DATA Public/Granted day:2015-08-13
Information query