A Comparative result-based study on Criminal Call Data Record Analysis


  • Sejal Mishra Assistant Professor, Dept. of Computer Science, Chouksey Engineering College, Bilaspur C.G, India
  • Dr. Abhinav Shukla Hod, Dept. of Computer Science & Information Technology, Dr. C.V. Raman University, Bilaspur C.G, India




crime, call data record, apriori algo, graph mining, excel, analysis


All calls that travel through a phone exchange are recorded in detail in call detail records or CDRs. The telephone exchange maintains this CDR, which includes the time of the call, the length of the call, the source and destination numbers, the type of the call, etc. Call data logs are crucial for handling serious criminal cases. Processing of Call Detail Records is now moving towards real-time streaming data. It assists in real-time call detail record analysis, real-time criminal location tracking, and real-time network behaviour analysis. However, the number, diversity, and data rate of these Call Detail Records are enormous, and the current telecom systems were not developed with these challenges in mind. The largest source, which can be viewed as Call Detail Records, can be used (for storage, processing, and analysis). The issues that the telecom sector has with call detail records analysis are the subject of extensive research. In this paper we demonstrate how to use Excel, data mining & graph mining to analyse call detail records of criminal case.


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How to Cite

Mishra, S., & Shukla, A. (2023). A Comparative result-based study on Criminal Call Data Record Analysis. RESEARCH REVIEW International Journal of Multidisciplinary, 8(5), 131–145. https://doi.org/10.31305/rrijm.2023.v08.n05.018