Abstract
In order to identify the reasons behind the hate crimes in Diyarbakir, Turkey a data mining research has been made. Various data mining algorithms are applied to data set containing forty big cases happened between 2009 and 2010. some algorithms helped us to model criminality in Diyarbakir, we learned which features for hatred crime features are important while dealing with cases. There has been also contribution for identifying habits of Diyarbakir people which makes them vulnerable for the hate crimes.