Multiple aspect trajectory data analysis: research challenges and opportunities.
Carlos Andres Ferrero, Luís Otávio Álvares, Vânia Bogorny · Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research) · 2016
Trajectory data analysis and mining has been largely studied in the past years. Although trajectories are multidimensional data, that have space, time, and semantic information, only a few works on the literature have consid- ered all three dimensions. Indeed, we claim in this paper that not only the three dimensions must be considered in trajectory data analysis, but that trajectories can be represented from different points of view, that we call multiple aspect representation. Existing works, in general, are limited to one single trajectory representation, what narrows the discovery of several types of interesting pat- terns. In this vision paper we show that there is a need for a change of paradigm in trajectory data analysis, and present new research challenges in movement analysis.