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Review Papers | Computer and Mathematical Sciences | India | Volume 11 Issue 12, December 2022

Applications of Data Mining Techniques and Algorithms in Crime Analysis and Digital Forensics: A Review

Narmadha Devi A. S. | Dr. K. Sivakumar

Abstract: Crime analysis is an essential method for figuring out why certain crimes keep happening over and over again. Data analytics applied to criminal offenses have the potential to aid law enforcement in the age of ever-more-pervasive digital technologies by allowing them to more rapidly apprehend suspects and apprehend crimes. Data mining is a technique for extracting meaningful information from large amounts of unstructured data. Using analytic and predictive techniques, as in "predictive policing," has been proven to be quite useful in identifying criminals. With the rise in crime over the years comes a corresponding rise in the volume and complexity of crime data that must be stored and analyzed in massive data warehouses. Furthermore, modern criminals are becoming increasingly technologically sophisticated, necessitating the use of cutting-edge tools to stay one step ahead of the law enforcement establishment. The primary purpose of this article is to provide a comprehensive overview of the algorithms and methods currently in use to detect and track down criminals.

Keywords: Data Mining, crime analysis, Digital forensics, Na?ve Bayes Classifiers, Predictive approach

Edition: Volume 11 Issue 12, December 2022,

Pages: 621 - 624