Data Mining Research for Information Security

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.

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Document Details

Document Type
Technical Report
Publication Date
Jan 29, 2016
Accession Number
AD1033089

Entities

People

  • Kevin Barton

Organizations

  • Texas A&M University

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Computers
  • Contracts
  • Control Systems
  • Cybersecurity
  • Data Mining
  • Information Security
  • Machine Learning
  • Malware
  • Models
  • Ontologies
  • Security
  • Specifications
  • Transient Response Analysis
  • Universities
  • Virtual Machines

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Neural Network Machine Learning.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Information Retrieval
  • AI & ML - Neural Networks
  • Space