Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …

Many cities and countries are now striving to create intelligent transportation systems that
utilize the current abundance of multisource and multiform data related to the functionality …

Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

Interactive machine learning (IML) is an iterative learning process that tightly couples a
human with a machine learner, which is widely used by researchers and practitioners to …

Predictive analytics embraces an extensive range of techniques including statistical
modeling, machine learning, and data mining and is applied in business intelligence, public …

Urban traffic congestion has become an important issue not only affecting our daily lives, but
also limiting economic development. The primary cause of urban traffic congestion is that the …

Clustering of trajectories of moving objects by similarity is an important technique in
movement analysis. Existing distance functions assess the similarity between trajectories …

We present SMARTEXPLORE, a novel visual analytics technique that simplifies the
identification and understanding of clusters, correlations, and complex patterns in high …

In movement data analysis, there exists a problem of comparing multiple trajectories of
moving objects to common or distinct reference trajectories. We introduce a general …

The analysis of ocean and atmospheric datasets offers a unique set of challenges to
scientists working in different application areas. These challenges include dealing with …