Motivated by recent legislation that bases sentencing of criminals on their likelihood to recommit a crime, we developed models that would make a prediction about whether or not individual criminals would commit another crime post-release. Using various supervised learning techniques, we looked at features of relevant criminal, locational, and demographic information to make predictions based o...

Social scientists have long observed strong correlations between social structure and violent crime rates at the neighborhood level. Yet little is known about the relationship between changes in social structure and violent crime trends. Furthermore, the spatial distribution of crime trends has received little attention in the literature. The dissertation explores the trajectories and spatial d...

Currently the crime rate is very alarming and reported in various mass electronic media. The high Province of Nort Sumatra unsettling for community. purpose this research to get result forecasting ratel 2021 - 2024 using Automatic Clustering And Fuzzy Logic Relationship (ACFLR) method. advantage method that has a level accuracy because Mean Absolute Percentage Error (MAPE) value relative small ...

Money-Laundering causes a higher prevalence of crime and reduces the desire tending to invest in productive activities. Also, it leads to weaken the integrity of financial markets and decrease government control over economic policy. Banks are able to prevent theft, fraud, money laundering conducted by customers through identification of their clients’ behavioral characteristics. This leads to ...

Previous studies have shown that when a crime occurs, the risk of in adjacent areas increases. To reflect this, previous grid-based prediction combined all cells surrounding event location to be predicted for use model training. However, actual land is continuous rather than set independent as geographic information system. Because patterns occur according detailed method vary, it necessary spa...

The importance of combining spatial and temporal aspects has been increasingly recognized over recent years, yet pertinent pattern analysis methods in place-based crime research still need further development to explicitly indicate spatial-temporal localities factors’ influence ranges. This paper proposes an approach, Spatial-Temporal Indication Crime Association (STICA), facilitate identifying...