| Abstrakt: |
Crime analysis tasks can usually be a lengthy process for the police or investigative team, and it is not new that people here of crime occurrence in developing country like India the aim of this researcher is to study the technique that will help us to predict what type of crime is happening the most in a particular area. As per our survey in most of the paper the crime data is taken from the Kaggle data set and various states. It consists of location, time, data, and type of crime. Before training the data, they have done preprocessing and filter out the data so the accuracy obtained will be high. According to our survey Support vector machine, data mining, Random forest, liner regression algorithm, clustering, naïve Bayesian, Artificial neural network, X G boot, KNN and various other classification and other algorithm are used for better accuracy. Overall, the study results before time recognition of crime, what type of crime rate is occurring the most. The aim of these researchers is to reduce the crime rate that will happen in future. [ABSTRACT FROM AUTHOR] |
