Accession Number:

AD1033089

Title:

Data Mining Research for Information Security

Descriptive Note:

Technical Report,20 May 2014,19 May 2015

Corporate Author:

TEXAS A AND M UNIV SAN ANTONIO TX SAN ANTONIO United States

Personal Author(s):

Report Date:

2016-01-29

Pagination or Media Count:

6.0

Abstract:

Machine-learning and Ontology Assisted Assessment of Research Trends MOAART advances machine learning by developing and testing an ontology-based inferencing engine to filter, sort and rank abstracts in specific research areas. The MOAART reports emerging global research trends in a given research area and defines a relevant ontology to current concepts of interest to the Asian Office of Aerospace Research and Development AOARD management team. The MOAART also extends visualization tools to support an ontology framework as well as organization of final results. The research employed supervised ensemble machine learning methods to develop an ontology-based inferencing engine capable of filtering, sorting, and ranking research of most interest to the AOARD team.

Subject Categories:

  • Computer Programming and Software
  • Computer Systems Management and Standards

Distribution Statement:

APPROVED FOR PUBLIC RELEASE