Spatio-temporal crime hotspot detection and prediction: a systematic literature review
The primary objective of this study is to accumulate, summarize, and evaluate the state-of-
the-art for spatio-temporal crime hotspot detection and prediction techniques by conducting …
the-art for spatio-temporal crime hotspot detection and prediction techniques by conducting …
[PDF][PDF] A review on machine learning (feature selection, classification and clustering) approaches of big data mining in different area of research
KN Neeraj, V Maurya - Journal of critical reviews, 2020 - researchgate.net
Today's age is the age of data, where a huge amount of data is being generated world-wide.
This huge volume of data, called 'big data', has no meaning until the proper information is …
This huge volume of data, called 'big data', has no meaning until the proper information is …
Application of artificial intelligence and machine learning in producing actionable cyber threat intelligence
Abstract Cyber Threat Intelligence (CTI) can be used by organisations to assist their security
teams in safeguarding their networks against cyber-attacks. This can be achieved by …
teams in safeguarding their networks against cyber-attacks. This can be achieved by …
A critical overview of food supply chain risk management
Due to the increasing occurrence of disruptive events caused by both human and also
natural disasters, supply chain risk management has become an emerging research field in …
natural disasters, supply chain risk management has become an emerging research field in …
Digital forensics: challenges and opportunities for future studies
Considering the ever-growing ubiquity of technology, there is an associated growth in the
possibility of digital devices related to a criminal investigation or civil litigation. As the variety …
possibility of digital devices related to a criminal investigation or civil litigation. As the variety …
[PDF][PDF] Data mining technique to analyse and predict crime using crime categories and arrest records
Generally, crimes influence organisations as it starts occurring frequently in society.
Because of having many dimensions of crime data, it is difficult to mine the available …
Because of having many dimensions of crime data, it is difficult to mine the available …
SOSYAL BİLİMLERDE VERİ BİLİMİ KULLANIMI
Bu çalışma, veri biliminin sosyal bilimler alanındaki önemli rolünü ve uygulamalarını ele
almaktadır. Geleneksel sosyal bilim yaklaşımlarıyla kıyaslandığında, veri bilimi yöntemleri …
almaktadır. Geleneksel sosyal bilim yaklaşımlarıyla kıyaslandığında, veri bilimi yöntemleri …
Understanding crime in the context of COVID-19: The case of Saldanha Bay Municipality
South Africa faces high levels of crime. The Saldanha Bay Municipality, the setting of this
study, is laden with poverty, unemployment and gangsterism that deprive quality of life and …
study, is laden with poverty, unemployment and gangsterism that deprive quality of life and …
A critical overview of digital twins
P Adjei, R Montasari - International Journal of Strategic Engineering …, 2020 - igi-global.com
In recent years, organisations have invested heavily in the digitisation of their processes to
maximise productivity. A digital twin is one of the most recent emerging technologies that is …
maximise productivity. A digital twin is one of the most recent emerging technologies that is …
[PDF][PDF] Crime Detection Approach Using Big Data Analytics and Machine Learning
Abstract The Crime Analysis phase establishes the number of crimes and other elements
such as the type of crime, murder, rape, kidnapping, etc. Various data analytics …
such as the type of crime, murder, rape, kidnapping, etc. Various data analytics …