Crime Classification Algorithm for Mining Crime Hot Spot and Cold Spot

Crime may be a behavior deviating from traditional violation of the norms giving peoples' losses and harms. Social, psychological, economic and environmental factors are to be thought-about in crime issues. Crime is tried to be explained by numerous theories from totally different sciences. Social and psychological theories contemplate the foundation causes of crime noticing to factors like social disorganization, temperament disorders and inadequate parenting etc. In this work, we discuss the groundwork results of a crime forecasting model developed in association with the Tamil Nadu police department. First part of the research work to collect the crime records from various police departments and rearrange the crime database. The space and time of these crime incidents are implanted in the data. Additionally spatial and temporal characteristics are yielded from the crime data. The second part of the research performs the crime forecasting based on data mining classification method. In this research analyze various classification methods which are predicting crime hotspots more accurately. The final result of the research model shows the improvement of spatial and temporal crime data to create consistent crime forecasting.