This document summarizes a research paper that proposes using the DBSCAN clustering algorithm and data mining techniques to analyze crime data and predict crime prone areas. The paper aims to develop a system that can analyze crime data, classify crimes by type, predict high probability areas for future crimes, and visualize crime clusters and predicted regions on a map. It uses a dummy crime dataset and applies the DBSCAN clustering algorithm, which forms effective clusters and is more accurate than K-means clustering. The results include crime cluster maps and maps of predicted crime regions that could help law enforcement agencies take preventative measures.