Forecast Visualizations for Terrorist Events

Abstract

We are developing techniques to forecast terrorist events and effective ways to present these forecasts to intelligence analysts. Forecasts come from analyzing historical event data and geographical information. We explore feature reduction techniques to make the computations closer to real-time and techniques for representing the confidence (or uncertainty) of the data.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2006
Accession Number
ADA606333

Entities

People

  • Greg S. Schmidt
  • Jason Dalton
  • Jason Goffeney
  • Jim D'archangelo
  • Ruth Willis

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Analysts
  • Computations
  • Data Analysis
  • Data Science
  • Database Management Systems
  • Databases
  • Delphi Method
  • Geographic Information Systems
  • Information Science
  • Information Systems
  • Intelligence Analysts
  • Military Research
  • Terrorists
  • Uncertainty
  • Visualizations
  • Weather Forecasting

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Regression Analysis.
  • Strategic Security Studies