Call Data Records/Internet Protocol Data Records Analysis Using K Means and RFM Algorithm

Analysis involves looking at information we have and finding important connections in it. Law enforcement groups use detailed phone call and internet usage records, given by cell service providers, for thorough investigations. The data they receive is enormous, making it really hard to study. In this project, we focus on studying Call Records and Internet Protocol Details. Analyzing these records closely is crucial in solving crimes. It helps investigators quickly go through millions of people’s records, and the results can be visualized graphically, making it easier for law enforcers to solve crimes. Usually, people causing trouble in society are linked to each other and give clues about specific groups’ crimes. This makes analyzing phone and internet records super useful. This paper talks about how we use these records to detect fraud. We use methods like K-Means and Map- Reduce for call records, RFM for internet records, and create graphs to display connections. The dataset utilized in the project is generated using scripts which has around ten thousand instances of data. Furthermore, feature selection was performed to increase the performance of the suggested model.