Crime Rate Analysis and Prediction Based on Spatial Data Mining

Crime Data Mining: Combining Socio-economic and Spatial Analysis

Public security is an important issue for a society. With the massive increase in electronic data availability over the last few years, characterising and predicting crime has become a task that can be approached using different data mining techniques. However, previous studies have concentrated on the spatial patterning of crimes without investigating potential predictors or causes. In this pa...

Bayesian Prediction in Spatial Data Analysis

A Survey on Data Mining Techniques for Crime Hotspots Prediction

A crime is an act which is against the laws of a country or region. The technique which is used to find areas on a map which have high crime intensity is known as crime hotspot prediction. The technique uses the crime data which includes the area with crime rate and predict the future location with high crime intensity. The motivation of crime hotspot prediction is to raise people’s awareness r...

GIS based Serial Crime Analysis using Data Mining Techniques

Serial crimes are the problems which are mostly committed by minority of offenders. The law enforcement people are forced to find out the serial crime which is considered as complex task. In order to find out the serial crimes, one needs to investigate the large number of crimes which are unlinked with each other. These problem need to be analyzed in different ways to find out the link that exi...

Data Mining based Crime-Dependent Triage in Digital Forensics Analysis

Over the last few years, law enforcement registered a growing number of crimes related to the worldwide diffusion of high storage capacity low-cost digital devices. As a consequence Computer Forensics, the investigative discipline that aims to find evidence among seized devices is becoming increasingly complex. In this paper, we propose a new approach to digital investigations, based on the app...