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During the past years the first tools for visual analysis of trajectory data appeared. Considering the growing sizes of trajectory collections, one important task is to ensure user interactivity during data analysis. In this paper we present a fast, model-based visualization approach for the analysis of location dependencies in large trajectory collections. Existing approaches are not suitable for...
Traffic routes through a street network contain patterns and are no random walks. Such patterns exist for instance along streets or between neighbouring street segments. The extraction of these patterns is a challenging task due to the enormous size of city street networks, the large number of required training data and the unknown distribution of the latter. We apply Bayesian Networks to model the...
The tracking data of the learners' activities is always known as significant source of information, allowing the instructors to be aware of the activities that the learners carried through, along with their outputs. It is at the same time considered a privileged element, exploited by the researchers and the developers to improve the learning environments. Yet, collecting and exploiting tracking data...
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