Crime Hot Spot Identification Using Kernel Density Estimation

A crime detection approach known as hot-spot mapping, which aids police officers in identifying high-crime areas and responding more effectively. The Modified Cut Clustering method (MCC) was used to discover crime locations with less manpower, and the findings were discussed in the preceding chapter. However, when dealing with huge amounts of crime data, the MCC does not enable efficient grouping of crime site facts. This problem is addressed in the proposed study by introducing a methodology known as the social crime data Aware Kernel Density Estimation based Serial crime Detection approach (SAKDESD), which is used to classify comparable crimes based on their degree of similarity. The serial crime data set, as well as the social data collection, are used to group serial offences in this study.