Volume 17, No. 1, 2020
Criminal Identification And Comprehensive Analysis Using Deep Learning: A Review
Laveena Sehgal , Dr. P.K. Bharti , Dr. Mahendra Sharma
Abstract
Deep learning mechanism is a discipline that consists of processes for creation of pattern in very systematic manner so that prediction, forecasting and scaling possible for massive amounts of data. It consists of techniques that are based on the convergence of machine learning and database architecture. Many different disciplines, such as future healthcare, market basket analysis, educational institutions, industrial engineering, and criminal investigation, might benefit from it. The discipline of criminology is one of the most significant for the use of Deep Learning. Criminology is a procedure with the goal of identifying the characteristics of criminal behaviour. Crime analysis entails investigating and identifying crimes as well as the linkages between them. There are many applications that contribute to the welfare of society by assisting law enforcement authorities in lowering crime rates. Crime detection and criminal identification is one of these applications. The Crime Department of India will profit from this technique since it will allow for more accurate crime analysis and prediction. It is the purpose of this research to examine the crime patterns in different Indian states and union territories.
Pages: 557-565
Keywords: Deep Learning, Crime analysis, Crime detection, Crime identification.