Data Analytics and Visualization for Large Army Testing Data

Abstract

The testing of Army systems can generate enormous amounts of raw data daily. This data is used to generate predetermined metrics used to evaluate the effectiveness of the system(s) being tested. The authors have developed a unique parallel framework that has not only drastically reduced the time necessary to generate these metrics, but is enabling insights into data trends and relationships via novel data analytics and visualization.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2013
Accession Number
ADA591620

Entities

People

  • Brian Panneton
  • Jerry Clarke
  • Kenneth Renard

Organizations

  • United States Army Research Laboratory

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Computational Processes
  • Data Analysis
  • Data Science
  • Department Of Defense
  • High Performance Computing
  • Information Operations
  • Information Science
  • Military Research
  • Parallel Computing
  • Parallel Processing
  • Visualizations

Fields of Study

  • Computer science

Readers

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