• P.Tamilarasi
• Dr.R.Uma Rani

Women's safety is now a serious concern in India. In the ongoing efforts of many nations to manage it, preventing this crime is a crucial task. The number of crimes committed against women has been rising over the past few years. In 2021, crime against women increased by 15 point 3 percent from the year before, 2020, the National Crime Recorded Bureau (NCRB) report states. The Indian government is currently interested in addressing this problem and emphasizing social development more. Each year, a ton of information is produced as a result of the reporting of crimes. We may even be able to stop crime to some extent with the help of this information, which can be very helpful for assessing and forecasting crime. The process used to carry out data analysis involves looking over, cleaning up, transforming, and modeling data. In order to support decision-making, it is important to establish valuable information and present findings. Imputations of missing data are essential in research because poor imputation of absence variables leads to inaccurate prediction. It's critical to handle these kinds of missing data well. In this article, KMMSDL approaches are suggested for handling missing values, PPCSGO soft computing techniques are used for feature selection, and ensemble-based regression approaches are used to forecast crime against women. This study's main objective is to lower errors while improving machine learning's ability to predict outcomes. The suggested algorithms, KMMSDL and PPCSGO, which offer an accuracy of 97.89 percent for the India-level crime data set, have reduced the greatest number of errors. The highest accuracy was produced by the suggested method. With the aid of this outcome, the police department would be able to successfully manage the crimes against women in India in the future.

Ensemble Methods, Feature Selection, Missing Values Imputation, KMMSDL,PPCSGO

"PREDICTION OF CRIME AGAINST WOMEN USING KMMSDL AND PPCSGO OPTIMIZATION TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.h305-h312, March-2024, Available :http://www.jetir.org/papers/JETIR2403741.pdf

"PREDICTION OF CRIME AGAINST WOMEN USING KMMSDL AND PPCSGO OPTIMIZATION TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. pph305-h312, March-2024, Available at : http://www.jetir.org/papers/JETIR2403741.pdf