Machine Learning Approaches to Uncover Terrorism Network in India
Anchal Hora, Asmita Bari, Sonal Rawat · 2020 International Conference for Emerging Technology (INCET) · 2020
Terrorism is a great threat prevailing in the society and has been around for centuries. Some terror strikes tend to resonate more than others, for reasons that are inexplicable. It is one of the biggest danger faced by countries all over the world. Several attempts were made to exterminate terrorism in the past but there is a need for some alternative promising techniques to eradicate the immense loss caused due to terrorism. Therefore, authors of this paper have devised various approaches by applying different machine learning algorithms and tried to visualize the result through visual analytics that recognize hidden patterns and trends in terrorist events and networks. This work is entirely depicted through visual analytics on terrorism database which further predicting the future outcome of these attacks in India.