This paper investigates how text analysis and classification techniques can be used to
enhance e-government, typically law enforcement agencies' efficiency and effectiveness by …

Motivation Scientists increasingly rely on intelligent information systems to help them in their
daily tasks, in particular for managing research objects, like publications or datasets. The …

This paper reviews the crime linkage literature to identify how data were pre-processed for
analysis, methods used to predict linkage status/series membership, and methods used to …

Crime linkage is a challenging task in crime analysis, which is to find serial crimes
committed by the same offenders. It can be regarded as a binary classification task detecting …

One of the most common types of crime, burglary often results in serious psychological
trauma and has financial consequences. Predicting burglaries is a challenging task due to …

Implementing a proper clustering algorithm and a high accuracy classifier for applying on
electricity smart meter data is the first stage in analyzing and managing electricity …

Crime linkage is a difficult task and is of great significance to maintaining social security. It
can be treated as a binary classification problem. Some crimes are difficult to determine …

The sharp rise in urban crime rates is becoming one of the most important issues of public
security, affecting many aspects of social sustainability, such as employment, livelihood …

The traditional machine learning systems lack a pathway for a human to integrate their
domain knowledge into the underlying machine learning algorithms. The utilization of such …

Despite the considerable deployed resources, current policing efforts are failing to stop
crimes before they start, and therefore, also failing to adequately protect lives and property …