Themes in data mining, big data, and crime analytics
GC Oatley - Wiley Interdisciplinary Reviews: Data Mining and …, 2022 - Wiley Online Library
This article examines the impact of new AI‐related technologies in data mining and big data
on important research questions in crime analytics. Because the field is so broad, the review …
on important research questions in crime analytics. Because the field is so broad, the review …
[HTML][HTML] Medical image-based detection of COVID-19 using deep convolution neural networks
The demand for automatic detection of Novel Coronavirus or COVID-19 is increasing across
the globe. The exponential rise in cases burdens healthcare facilities, and a vast amount of …
the globe. The exponential rise in cases burdens healthcare facilities, and a vast amount of …
[PDF][PDF] A review on honeypot-based botnet detection models for smart factory
Since the Swiss Davos Forum in January 2017, the most searched keywords related to the
Fourth Revolutionary Industry are AI technology, big data, and IoT. In particular, the …
Fourth Revolutionary Industry are AI technology, big data, and IoT. In particular, the …
A survey on hyperlink prediction
C Chen, YY Liu - IEEE Transactions on Neural Networks and …, 2023 - ieeexplore.ieee.org
As a natural extension of link prediction on graphs, hyperlink prediction aims for the
inference of missing hyperlinks in hypergraphs, where a hyperlink can connect more than …
inference of missing hyperlinks in hypergraphs, where a hyperlink can connect more than …
[HTML][HTML] Performance optimization of criminal network hidden link prediction model with deep reinforcement learning
M Lim, A Abdullah, NZ Jhanjhi - Journal of King Saud University-Computer …, 2021 - Elsevier
The scale of criminal networks (eg drug syndicates and terrorist networks) extends globally
and poses national security threat to many nations as they also tend to be technologically …
and poses national security threat to many nations as they also tend to be technologically …
Robust link prediction in criminal networks: A case study of the Sicilian Mafia
Link prediction exercises may prove particularly challenging with noisy and incomplete
networks, such as criminal networks. Also, the link prediction effectiveness may vary across …
networks, such as criminal networks. Also, the link prediction effectiveness may vary across …
Link prediction in time-evolving criminal network with deep reinforcement learning technique
The prediction of hidden or missing links in a criminal network, which represent possible
interactions between individuals, is a significant problem. The criminal network prediction …
interactions between individuals, is a significant problem. The criminal network prediction …
[HTML][HTML] Covert network construction, disruption, and resilience: a survey
Covert networks refer to criminal organizations that operate outside the boundaries of the
law; they can be mainly classified as terrorist networks and criminal networks. We consider …
law; they can be mainly classified as terrorist networks and criminal networks. We consider …
The influence of cybersecurity attacks on e-governance
The use of e-government is growing as the world is progressively becoming more
interconnected. However, data security systems must be designed to address new and …
interconnected. However, data security systems must be designed to address new and …
Cybersecurity Issues and Challenges for E-Government During COVID-19: A Review
IA Shah - Cybersecurity Measures for E-Government …, 2022 - igi-global.com
Cyber-attacks can steal information by applying different methods and activities of cyber
criminals, thereby destroying data, computer programs, and networking on one or more …
criminals, thereby destroying data, computer programs, and networking on one or more …