Crime Against Women: Analysis and Prediction Using Data Mining Techniques








Abstract

Crime against women or violence against women is the major issue of any country, state or district. There is a need to extract relevant and timely information so that the issue can be controlled. Crime analysis is defined by exploring and detecting crime and their relationship between various criminals and crime heads. There are various data mining analytical or predictive techniques developed and using in the different areas. Many researchers are using various kinds of techniques of data mining to prevent and control the crime. This paper discusses the various data mining techniques, used for analyzing and predicting crime or violence against women.


Modules


Algorithms

Machine learning algorithms


Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL