JOURNAL ARTICLE

CRIME ANALYSIS AND PREDICTION USING K-MEANS ALGORITHM

Mrs. Prasanna PabbaKetan BallurkarG. Ram ReddyK. Ajay ReddyC. Sai Kiran

Year: 2022 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

Crime analysis and prediction is a systematic approach for identifying the crime. This approach can predict areas which have high chances for crime occurrences and graphical presentation of crime areas. Using the concept of Machine Learning using K-Means algorithm. By using the available data, we can extract useful information by forming k number of clusters. Through which we can build Machine Learning models which helps us in prediction. Due to increase in the crime rates and density of the population rapidly quality of the people’s lifestyle is decreasing, which leads to decreasing the reputation of the nation. So, there is a need of securing the lives of people. Hence, there is need a advance of technology through which we can predict the crimes accurately. The proposed system helps in analyzing data and helps in accurately and thereby the crime investigation people and the cops can predict the crimes and can control the crimes.

Keywords:
Computer science Algorithm

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