The launch of the United Nations (UN) 17 Sustainable Development Goals (SDGs) in 2015
was a historic event, uniting countries around the world around the shared agenda of …

Many researchers have unraveled innovative ways of examining geographic information to
better understand the determinants of crime, thus contributing to an improved understanding …

Crimes prediction is one of the most important topics in recent years that aim to protect
people's lives. These analytical studies for criminal hotspots are frequently demanded by …

Timely identification of terrorist networks within civilian populations could assist security and
intelligence personnel to disrupt and dismantle potential terrorist activities. Finding “small” …

This article explores the potential for Natural Language Processing (NLP) to enable a more
effective, prevention focused and less confrontational policing model that has hitherto been …

Big data analytics (BDA) is systematized based on recognized diverse data group models,
data family members, and movements within a huge amount of information. It considers BDA …

Nowadays, the use of digital technologies is promoting three main characteristics of
information, ie the volume, the modality and the frequency. Due to the amount of information …

Nowadays, artificial intelligence is widely used in various fields and industries. Cybercrime
is a concern of these days, and artificial intelligence is used to detect this type of crime …

In this study, data mining methods used in audit activities are explained. Based on the
results of the research on data mining, common data mining methods have been determined …

The purpose of this literature review was to compile recent conducted reviews about the use
of artificial intelligence (AI) in crime prediction and prevention. How capable are current AI …