General Mathematics


Causal Models and Exploratory Analysis in Heterogeneous Information Fusion for Detecting Potential Terrorists

Authors: Paul K. Davis, David Manheim, Walter L. Perry, John S. Hollywood

We describe research fusing heterogeneous information in an effort eventually to detect terrorists, reduce false alarms, and exonerate those falsely identified. The specific research is more humble, using synthetic data and first versions of fusion methods. Both the information and the fusion methods are subject to deep uncertainty.

Comments: 24 Pages.

Download: PDF

Submission history

[v1] 2017-01-03 08:55:39

Unique-IP document downloads: 2 times is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus