• Deepika Tyagi
  • Dr. Sanjiv Sharma



Crime Data Analysis, Data Mining, Machine Learning, Big Data.


In the current era, number of crimes occurs in the society and this criminal rate increase day by day. There is tremendous growth of criminal data. Crime has negatively influenced the societies. Crime control is essential for the welfare, stability and development of society. Law enforcement agencies are seeking for the system to target crime structure efficiently. The intelligent crime data analysis provides the best understanding of the dynamics of unlawful activities, discovering patterns of criminal behavior that will be useful to understand where, when and why crimes can occur. There is a need for the advancements in the data storage collection, analysis and algorithm that can handle data and yield high accuracy. This paper demonstrates the data mining technologies which are used in criminal investigation. The contribution of this paper is to highlight the methodology used in crime data analytics. This paper summarizes the challenges arising during the analysis process, which should be removed to get the desired result.



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How to Cite

Tyagi, D. ., & Sharma , D. S. . (2018). AN APPROACH TO CRIME DATA ANALYSIS: A SYSTEMATIC REVIEW. International Journal of Engineering Technologies and Management Research, 5(2), 67–74.