Novel Crime Mapping Model with Predictive Analytics And Clustering Techniques

Abstract :

In this world, rate of crimes are increasing as well as challenging the capabilities of people who are investigating crimes. The generated data regarding crimes are also increasing, which are mostly digitalized in nature and cannot be analyzed efficiently with the use of traditional techniques. Instead of using these techniques it would be beneficial to use Big Data Analytics for these data. Primarily collected data are distributed over geographic location and based on that, clusters are created and these are analyzed using Big Data Analytics. Then, these are exposed to similarity checking process by using algorithms and the resultant cross checked pattern or mapped pattern can be used by security authorities for allocating resources that helps in mapping and predicting crime. The proposed research work focuses on a crime mapped model using clustering techniques and predictive analytics. As clustering approach is using, it will help the authorities to retrieve the information very easily. Using crime mapping techniques, it is easy to map the crime from similar crime scenarios. Also, the predictive analysis techniques are used to predict the future crime incidents or pattern. So, using Big Data Analytics in this research reduces the investigation time and helps in retrieving the information very quickly.

Conference Papers :