Jun 14, 2023 · The study provides access to the datasets used for crime prediction by researchers and analyzes prominent approaches applied in machine learning and deep learning algorithms to predict crime, offering insights into different trends and …

Jan 1, 2022 · We review 120 research papers published between 2008 and 2021 that cover AI approaches for crime prediction. We provide 34 crime categories researched by researchers and 23 distinct crime analysis methodologies after analyzing the selected research articles.

Apr 29, 2021 · The dataset consists of data from an online database of crime statistics from Chicago, demographic and meteorological data, and images. Crime prediction methods utilize several ML techniques, including a regression analysis, kernel density estimation (KDE), and …

Feb 2, 2023 · In this paper, we evaluate state-of-the-art crime prediction techniques that are available in the last decade, discuss possible challenges, and provide a discussion about the future work that could be conducted in the field of crime prediction.

Jun 30, 2022 · Data and social scientists from the University of Chicago have developed a new algorithm that forecasts crime by learning patterns in time and geographic locations from public data on violent and property crimes. The model can predict future crimes one week in advance with about 90% accuracy.

May 23, 2023 · Accurate crime prediction can help the government, police, and citizens to carry out effective crime prevention measures. In this paper, the research on crime prediction is systematically reviewed from a variety of temporal and spatial perspectives.

Jun 30, 2022 · Using data from seven US cities (with an especially deep focus on Chicago), the authors develop a forecasting approach that predicts crime events by learning from the spatiotemporal...

Oct 17, 2018 · In this paper, we develop a new crime prediction framework--DeepCrime, a deep neural network architecture that uncovers dynamic crime patterns and carefully explores the evolving inter-dependencies between crimes and other ubiquitous data in urban space.

Nov 26, 2024 · In this comprehensive tutorial, we covered the basics of AI for social good, focusing on crime prediction and prevention. We walked through the implementation of a basic crime prediction model using a combination of supervised learning and feature engineering.

Jul 2, 2022 · It can predict future crimes one week in advance with about 90% accuracy. A new computer model uses publicly available data to predict crime accurately in eight cities in the U.S., while revealing increased police response in wealthy neighborhoods at the expense of less advantaged areas.