Analysis of Global Terrorism Dataset using Open Source Data Mining Tools
Mansi Goel, Nikitasha Sharma, Mahendra Kumar Gurve · 2019 International Conference on Computing, Power and Communication Technologies (GUCON) · 2019
Terrorism is an escalating global agitation over the years despite the development. Since the attacks of 9/11, the discipline of terrorism has seen tremendous extension and acquired attention from divergent communities worldwide. This paper examines the Global Terrorism Database that encompasses statistics on domestic and international terrorist attacks since 1970s and yields its analysis and prediction repercussions using open source data mining tools. we developed the model using orange data mining tool to apply different machine learning algorithms such as SVM, Naive Bayes, Neural Networks and KNN, it further compares their analysis results and uses the most suited results for prediction based on different attributes of dataset.