Citation

Varghese AR, Angeline Prasanna G. Int. J. Eng. Technol. Manage. Sci. 2022; 6(5): 334-340.

Copyright

(Copyright © 2022, International Journal of Engineering Technology and Management Sciences)

DOI

10.46647/ijetms.2022.v06i05.049

PMID

unavailable

Abstract

Nowadays, certain crimes occur within a society, and criminality is increasing on a daily basis. There has also been a significant increase in criminal activity. Society has been negatively impacted by crime. Controlling crime is essential for government support, social stability, and growth. Regulation implementation organizations are searching for a framework that will allow them to successfully objective crime structure. The intelligent crime data analysis provides sufficient knowledge about the elements of illegal activities, running through examples of criminal behavior while aiming to be advantageous in catching where, when running through examples of criminal behavior while aiming to be advantageous in and why infractions may occur.It is in need of data storage, analysis, and algorithm which can manage a large amount of data and produce high accuracy. This paper summarizes the many machine learning approaches utilized during criminal analysis that should be eliminated in order to achieve the best result.

Language: en