Crime Prediction Using K-Nearest Neighboring Algorithm
Akash S. Kumar, Aniket Verma, Gandhali Shinde, Yash Sukhdeve, Nidhi Lal · 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) · 2020
For a developing country like India, it is not new that people hear of crimes happening quite often. With the rapid urbanization of cities, we have to constantly be aware of our surroundings. In order to avoid the unfortunate, we will try to observe crime rates by the KNN prediction method. It will predict, tentatively, the type of crime, when, where and at what time it may take place. This data will give the behaviors in crime over an area which might be helpful for criminal investigations. It will also provide us with the most committed crime in a particular region. In this paper, we will use the k-nearest neighbor algorithm of machine learning.