Crime Analysis Using Decision Tree Classification

Security is one of the major concerns and the issue is continuing to grow in intensity and complexity. It is an important aspect which is given higher priority by all political and government worldwide and aiming to reduce crime incidence. Law and enforcement is responsible for providing security to public. Nowadays, criminal incidences are increased and that are difficult to handle by police force. To reduce previously occurred crime patterns. Data mining is an exact field for analyzing a high dimensional crime data. The objective of this paper is to classify the crime incidence that was most occurred at each district. This paper helps the law and enforcement to provide controls over places based on the category of crime that was most happened in that particular district. It can also be used to detect the criminals easily based on this classification. crimes, the crime incidences are to be analyzed. Law enforcement agencies like that of police today are faced with large volume of data that must be Keywords: Crime datasets, classification, decision tree. I. INTRODUCTION processed and transformed into useful information and hence data mining can greatly improve crime analysis and aid in reducing and preventing crime. Extractions of crime patterns are the essential need for the police force to identify the crime incidence in fast manner for further investigations. Since data mining is the tool for extracting hidden patterns, the data mining techniques can be applied for analyzing the crime dataset. Detecting crime incidence is not an easy task likewise preventing criminals from doing crime incidence is also not easy. But there is a chance to protect public from such crime attacks.