We present a comprehensive, detailed review of time-series data analysis, with emphasis on
deep time-series clustering (DTSC), and a case study in the context of movement behavior …

Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …

With the promotion of ChatGPT to the public, Large language models indeed showcase
remarkable common sense, reasoning, and planning skills, frequently providing insightful …

The proliferation of trajectory data in various application domains has inspired tremendous
research efforts to analyze large-scale trajectory data from a variety of aspects. A …

Data-driven intelligent transportation systems utilize data resources generated within
intelligent systems to improve the performance of transportation systems and provide …

Visual analytics systems combine machine learning or other analytic techniques with
interactive data visualization to promote sensemaking and analytical reasoning. It is through …

Today, in many spheres of human activity, massive amounts of data are collected and
stored. As the volumes of data available to lawmakers, civil servants, business people and …

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 …

Movement data (trajectories of moving agents) are hard to visualize: numerous intersections
and overlapping between trajectories make the display heavily cluttered and illegible. It is …

The technologies of mobile communications pervade our society and wireless networks
sense the movement of people, generating large volumes of mobility data, such as mobile …