DBSCAN revisited, revisited: why and how you should (still) use DBSCAN
At SIGMOD 2015, an article was presented with the title “DBSCAN Revisited: Mis-Claim, Un-
Fixability, and Approximation” that won the conference's best paper award. In this technical …
Fixability, and Approximation” that won the conference's best paper award. In this technical …
Visual exploration of big spatio-temporal urban data: A study of new york city taxi trips
As increasing volumes of urban data are captured and become available, new opportunities
arise for data-driven analysis that can lead to improvements in the lives of citizens through …
arise for data-driven analysis that can lead to improvements in the lives of citizens through …
Visual traffic jam analysis based on trajectory data
In this work, we present an interactive system for visual analysis of urban traffic congestion
based on GPS trajectories. For these trajectories we develop strategies to extract and derive …
based on GPS trajectories. For these trajectories we develop strategies to extract and derive …
[KİTAP][B] Visual analytics of movement
Many important planning decisions in society and business depend on proper knowledge
and a correct understanding of movement, be it in transportation, logistics, biology, or the life …
and a correct understanding of movement, be it in transportation, logistics, biology, or the life …
Visual analytics of movement: An overview of methods, tools and procedures
Analysis of movement is currently a hot research topic in visual analytics. A wide variety of
methods and tools for analysis of movement data has been developed in recent years. They …
methods and tools for analysis of movement data has been developed in recent years. They …
Analyzing large-scale human mobility data: a survey of machine learning methods and applications
Human mobility patterns reflect many aspects of life, from the global spread of infectious
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …
Stacking-based visualization of trajectory attribute data
Visualizing trajectory attribute data is challenging because it involves showing the
trajectories in their spatio-temporal context as well as the attribute values associated with the …
trajectories in their spatio-temporal context as well as the attribute values associated with the …
[HTML][HTML] On data processing required to derive mobility patterns from passively-generated mobile phone data
Passively-generated mobile phone data is emerging as a potential data source for
transportation research and applications. Despite the large amount of studies based on the …
transportation research and applications. Despite the large amount of studies based on the …