An Autonomous Machine Learning Approach for Global Terrorist Recognition

Autor:	Hill, Jerry L., Mora, Randall P.
Rok vydání:	2012
Předmět:	reconnaissance data fusion intelligent agent service-based framwork data compression derived data machine learning
Druh dokumentu:	Proceedings<br />Text
ISSN:	0884-5123 0074-9079
Popis:	ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2012 / Town and Country Resort & Convention Center, San Diego, California A major intelligence challenge we face in today's national security environment is the threat of terrorist attack against our national assets, especially our citizens. This paper addresses global reconnaissance which incorporates an autonomous Intelligent Agent/Data Fusion solution for recognizing potential risk of terrorist attack through identifying and reporting imminent persona-oriented terrorist threats based on data reduction/compression of a large volume of low latency data possibly from hundreds, or even thousands of data points.
Databáze:	Networked Digital Library of Theses & Dissertations
Externí odkaz:	http://hdl.handle.net/10150/581675 Zobrazit plný text záznamu