Advanced Data Fusion for Wartime Event Correlation and Prediction

Abstract

This paper summarizes an ongoing data fusion project the purpose of which is to identify patterns from object oriented databases derived from message traffic generated during U.S. Marine Corps exercises. These patterns will be used to predict attacks during wartime and other periods of tension or conflict. The paper describes a concept of operations, a literature survey of relevant data mining and classifier algorithms, plans for system development and directions for future research.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1999
Accession Number
ADA371046

Entities

People

  • M. G. Ceruti
  • S. J. Mccarthy

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Bayesian Networks
  • Command And Control
  • Command And Control Systems
  • Computational Complexity
  • Computer Programs
  • Computers
  • Data Fusion
  • Data Mining
  • Data Science
  • Databases
  • Information Science
  • Machine Learning
  • Naval Warfare
  • Pattern Recognition
  • Probability
  • Probability Distributions

Readers

  • Military History / Militaries and War Studies
  • Neural Network Machine Learning.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy