Data Mining Model Framework for GTD (Global Terrorism Database)

Terrorism is the evolving phenomenon which has been increased to a huge extent in the past few decades which threatens the stability of a country / region. Government Officials like FBI, CIA etc. could not depend upon only telecommunications, satellite activities etc. to capture activities of terrorists as they are prone to these technologies and can easily plan attacks against it. Real time collection of terrorism data can be a source of great use for counter terrorism measures. But to process such huge growing data one need the efficient methodologies to practically visualize the complex unstructured data. Data Science provides efficient way to process infinite growing data with time with distributive frame works, statistical and mathematical computation modeling, clusters etc.. We had developed a model to analyze real time terrorism data with the help of data science in python to solve the existing and growing problem of terrorism in India. The Data Science Model is based on the Global Terrorism Database (GTD) which contains the records off terrorist attacks since 1970. The model is used for the visualization of the Real-Time-Data of the terrorist attacks with the help of data manipulation tools in python. It is an intelligent early warning model which includes the Terrorist attack in India since 1970. The model proposes the statistical model, analysis, correlation and findings in the Punjab region. It includes the analysis of geospatial data, REST API (Foursquare API), data manipulation with pandas, clustering with folium, seaborn, plotly and other data visualization tools.