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A Visual Analytics Approach for User Behaviour Understanding through Action Sequence Analysis
(The Eurographics Association, 2017)
Analysis of action sequence data provides new opportunities to understand and model user behaviour. Such data are often in the form of timestamped and labelled series of atomic user actions. Cyber security is one of the ...
Scalable Cluster Analysis of Spatial Events
(The Eurographics Association, 2012)
Clustering of massive data is an important analysis tool but also challenging since the data often does not fit in RAM. Many clustering algorithms are thus severely memory-bound. This paper proposes a deterministic density ...
Contextualized Analysis of Movement Events
(The Eurographics Association, 2019)
For understanding the circumstances, causes, and consequences of events that may happen during movement (e.g., harsh brake, sharp turn), it is necessary to analyze event context. The context includes dynamic attributes of ...
Moving Together: Towards a Formalization of Collective Movement
(The Eurographics Association, 2019)
While conventional applications for spatiotemporal datasets mostly focus on the relation between movers and environment, research questions in the analysis of collective movement typically focus more on relationships and ...
Visual Exploration of Spatial and Temporal Variations of Tweet Topic Popularity
(The Eurographics Association, 2018)
We present a visual analytical approach to exploring variation of topic popularity in social media (such as Twitter) over space and time. Our approach includes an analytical pipeline and a multi-view visualization tool. ...
Finding Arbitrary Shaped Clusters with Related Extents in Space and Time
(The Eurographics Association, 2010)
The paper deals with density-based clustering of events, i.e. objects positioned in space and time, such as occurrences of earthquakes, forest fires, mobile phone calls, or photos with geographical references. Finding ...
Extracting Movement-based Topics for Analysis of Space Use
(The Eurographics Association, 2023)
We present a novel approach to analyze spatio-temporal movement patterns using topic modeling. Our approach represents trajectories as sequences of place visits and moves, applies topic modeling separately to each collection ...