Multivariate time series (MTS) prediction aims at predicting future time series by extracting
multiple forms of dependencies of past time series. Traditional prediction methods and deep …

The relationship between crime patterns and associated variables has drawn a lot of
attention. These variables play a critical role in crime prediction. While traditional regression …

Crime is always one of the most important social problems, and it poses a great threat to
public security and people. Accurate crime prediction can help the government, police, and …

Crime activity in many cities worldwide causes significant damages to the lives of victims
and their surrounding communities. It is a public disorder problem, and big cities experience …

In this study, we aimed to investigate the effectiveness of big data-driven predictive policing,
one of the latest forms of technologybased policing, and also the risks of data concentration …

People use social media to engage, connect, and exchange ideas, for professional interests,
and for sharing images, videos, and other contents. According to the investigation, social …

Crime issues have been attracting widespread attention from citizens and managers of cities
due to their unexpected and massive consequences. As an effective technique to prevent …

In today's world, security is the most prominent aspect which has been given higher priority.
Despite the rapid growth and usage of digital devices, lucrative measurement of crimes in …

The importance of early prediction in reducing the impact of crime cannot be overstated.
Machine learning algorithms have proven to be effective in this regard, but their inability to …

Crime is a negative phenomenon that affects the daily life of the population and its
development. When modeling crime data, assumptions on either the spatial or the temporal …