Crime Prediction: Integration of data mining techniques (clustering and classification) to enhance crime prevention through analysis of the relationships between type of crimes, locations, times and weather patterns.

The aim of this dissertation is to reveal the hidden characteristics and relations in crime by exploring the Seattle Police crime dataset and National climatic data center weather dataset and determining the model which can predict crime with outmost accuracy.