Prediction of Unknown Terrorist Group Names Responsible for Attacks in Turkey

In this paper, the dataset of real incidents that occurred in Turkey between 2013 and 2017 are regarded as acts terrorism without any doubt according to Global Terrorism Database (GTD) used predict group names responsible for unknown attacks. Principal Component Analysis (PCA) technique was feature selection. A novel voting method five classification algorithms such Random Forests, Logistic Regression, AdaBoost, Neural Network, Support Vector Machine names. The results clearly demonstrate accuracy all classifiers studied paper improved when PCA select features compared selecting using PCA. prediction terrorist with based reduction original is carried out compared.