CRIME ANALYSIS AND PREDICTION USING OPTIMIZEDLOGISTICREGRESSION ALGORITHM

CRIME ANALYSIS AND PREDICTION USING OPTIMIZED LOGISTIC REGRESSION ALGORITHM

K Banupriya1, B Devendiran2, P Divesh3, R Sanjay4, K Logeshwaran5

1Assistant Professor, Dept of Information Technology, Adhi College Of Engineering AndTechnology, 2345Students of Dept of Computer Science And Engineering, Adhi College Of Engineering AndTechnology

1banupriya.cse@adhi.edu.in, 2baskardeva7@gmail.com, 3diveshk2468@gmail.com, 4Sanjayr21092022@gmail.com, 5logeshwaran2563@gmail.com

ABSTRACT

The objective of this project is to tackle a vital issue in the society - Crimes. Analyzing and examining of crimes happening in the world will give us a Broadview in understanding the crime regions and can be used to take necessary precautions to mitigate the crime rates. Identifying Crime patterns will allow us to tackle problems with unique approaches in specific crime category regions and improve more security measures in society. Current studies show the reason of increase in crime rates is more in areas that are economically backward. In few decades’ property crime will be a target. The following approach involves predicting crimes classifying, pattern detection and visualization with effective tools and technologies. Use of past crime data trends helps us to correlate factors which might help understanding the future scope of crimes.

Keywords: Crime Prediction, K-Means, Clustering, Data Mining, Crime Prone Areas