Understanding Patterns or Relations of the Terrorist Attacks in Big Data to Prevent Future Threats.

Abstract

This research interests value in 5Vs that is the useful results about terrorist attacks (incidents) to analyze the terrorist activity patterns or relations, to predict their future moves, and finally to prevent potential terrorist attacks. We focused on understanding of why incident succeed or fail, duration of incident extended, and doubt as to whether the incident is an act of terrorism. The results will be very useful for law enforcement agencies to propose reactive strategies.

Full text

Understanding Patterns or Relations of the Terrorist Attacks in Big
Data to Prevent Future Threats.
This research interests value in 5Vs that is the useful results about terrorist attacks
(incidents) to analyze the terrorist activity patterns or relations, to predict their
future moves, and finally to prevent potential terrorist attacks. We focused on
understanding of why incident succeed or fail, duration of incident extended, and
doubt as to whether the incident is an act of terrorism. The results will be very
useful for law enforcement agencies to propose reactive strategies.