  Terrorism is one of the most life-challenging threats facing humanity
worldwide. The activities of terrorist organizations threaten peace, disrupts
progress, and halt the development of any nation. Terrorist activities in
Nigeria in the last decades have negatively affected economic growth and have
drastically reduced the possibilities of foreign investments in Nigeria. In
this paper, statistical and inferential insights are applied to the terrorist
activities in Nigeria from 1970 to 2019. Using the Global Terrorism Database
(GTD), insights are made on the occurrences of terrorist attacks, the
localities of the target, and the successful and unsuccessful rates of such
attacks. The Apriori algorithm is also used in this paper to draw hidden
patterns from the GTD to aid in generating strong rules through database
mining, resulting in relevant insights. This understanding of terrorist
activities will provide security agencies with the needed information to be one
step ahead of terrorists in making the right decisions targeted at curbing
terrorism in Nigeria.
