Towards an effective approach of extracting spatio-sequential patterns

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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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
Título de la publicación alojadaExtraction et Gestion des Connaissances, EGC 2012
Páginas161-172
Número de páginas12
EstadoPublicada - 1 dic. 2012
Publicado de forma externa
EventoRevue des Nouvelles Technologies de l'Information -
Duración: 1 dic. 2012 → …

Serie de la publicación

NombreRevue des Nouvelles Technologies de l'Information
NúmeroE.23
ISSN (versión impresa)1764-1667

Conferencia

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

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