Massive flows that represent the individual level of movements and communications can be
easily obtained in the age of big data. Generalizing spatial and temporal flow patterns from …

Mobile phones have emerged as an essential part of people's lives. The data produced from
them can be utilized to derive the spatio-temporal information of their users' whereabouts …

Detection of structural changes in machine state attracts increasing attention for the
monitoring and prognosis of rotating machinery. Very recently, the graph model has been …

New highly-multiplexed imaging technologies have enabled the study of tissues in
unprecedented detail. These methods are increasingly being applied to understand how …

Over the last decades, technological advances have allowed the capturing of travel
behaviour at large-scale. Despite the unprecedented volume and the variety of personal …

With the rapid development of sensing technologies, massive spatiotemporal data have
been acquired from the urban space with respect to different domains, such as …

Network anomaly analysis is an emerging subtopic of network security. Network anomaly
refers to the unusual behavior of network devices or suspicious network status. A number of …

Reading literature is essential to research. However, the explosive growth, the
multidimensional attributes, and the complex relationships pose a tremendous challenge for …

Graphs represent general node‐link diagrams and have long been utilized in scientific
visualization for data organization and management. However, using graphs as a visual …

In eye tracking research, finding eye movement patterns and similar strategies between
participants' eye movements is important to understand task solving strategies and …