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 …

Link prediction aims to anticipate the probability of a future connection between two nodes in
a given network based on their previous interactions and the network structure. Link …

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 …

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 …

The advent of rapid digital technology has opened doors to a new domain for criminal
activities, commonly termed as computer crimes. Stringent penalties have been instituted by …

Cerebrovascular diseases such as stroke are among the most common causes of death and
disability worldwide and are preventable and treatable. Early detection of strokes and their …

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 …

Given the inherent risks in medical decision-making, medical professionals carefully
evaluate a patient's symptoms before arriving at a plausible diagnosis. For AI to be widely …

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 …

Link prediction exercises may prove particularly challenging with noisy and incomplete
networks, such as criminal networks. Also, the link prediction effectiveness may vary across …