Towards an effective approach of extracting spatio-sequential patterns

Hugo Alatrista Salas, Sandra Bringay, Frédéric Flouvat, Nazha Selmaoui-Folcher, Maguelonne Teisseire

Resultado de la investigación: Contribución a una conferencia


In these last years, large quantity of spatio-temporal data stored leads to new needs such that management of natural risks, health or anthropogenic (e.g. understanding the dynamic of dengue epidemic). In this paper, we define a new theoretical framework for extracting spatio-sequential patterns. A spatio-sequential pattern is a sequence representing evolution of locations and their neighborhoods over time. We propose an efficient algorithm based on depth-first-search with successive projections over the database. We introduce a new interestingness measure taking into account both spatial and temporal aspects. Experiments are conducted on real datasets highlight the relevance of our method.
Idioma originalInglés
Número de páginas12
EstadoPublicada - 1 dic. 2012
Publicado de forma externa
EventoRevue des Nouvelles Technologies de l'Information -
Duración: 1 dic. 2012 → …


ConferenciaRevue des Nouvelles Technologies de l'Information
Período1/12/12 → …


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