Analyzing Off-Normals In Large Distributed Control Systems Using Deep Packet Inspection And Data Mining Techniques Metadata
Metadata describes a digital item, providing (if known) such information as creator, publisher, contents, size, relationship to other resources, and more. Metadata may also contain "preservation" components that help us to maintain the integrity of digital files over time.
Title
- Main Title Analyzing Off-Normals In Large Distributed Control Systems Using Deep Packet Inspection And Data Mining Techniques
Creator
-
Author: Fedorov, MCreator Type: Personal
-
Author: Brunton, GCreator Type: Personal
-
Author: Estes, CCreator Type: Personal
-
Author: Fisher, JCreator Type: Personal
-
Author: Marshall, CCreator Type: Personal
-
Author: Stout, ECreator Type: Personal
Contributor
-
Sponsor: United States. Department of Energy.Contributor Type: Organization
Publisher
-
Name: Lawrence Livermore National LaboratoryPlace of Publication: Livermore, CaliforniaAdditional Info: Lawrence Livermore National Laboratory (LLNL), Livermore, CA
Date
- Creation: 2013-09-19
Language
- English
Description
- Physical Description: 5 p. (0.2 MB)
Subject
- STI Subject Categories: 42 Engineering
Source
- Conference: Presented at: ICALEPCS 2013, San Francisco, CA, United States, Oct 06 - Oct 11, 2013
Collection
-
Name: Office of Scientific & Technical Information Technical ReportsCode: OSTI
Institution
-
Name: UNT Libraries Government Documents DepartmentCode: UNTGD
Resource Type
- Article
Format
- Text
Identifier
- Report No.: LLNL-CONF-644099
- Grant Number: W-7405-ENG-48
- Office of Scientific & Technical Information Report Number: 1097740
- Archival Resource Key: ark:/67531/metadc866115
Note
- Display Note: PDF-file: 5 pages; size: 0.2 Mbytes