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Clustering is an active research topic in data mining and different methods have been proposed in the literature. Most of these methods are based on the use of a distance measure defined either on numerical attributes or on categorical attributes. However, in fields such as road traffic and medicine, datasets are composed of numerical and categorical(More)
Cet article présente la démarche multidisciplinaire que nous avons adoptée pour construire un système d'information pour l'aide à la décision dans la gestion du trafic routier. L'architecture du système, le schéma de l'entrepôt de données ainsi que les différentes représentations numériques et symboliques des séquences spatio-temporelles, stockées dans(More)
The clustering validation and clustering interpretation are the two last steps of clustering process. The validation step permits to evaluate the goodness of clustering results using some measures. Valid results are then generally interpreted and used in cluster analysis. The validity measures are classified into three categories: unsupervised measures,(More)
Validation and interpretation are the two last steps of a clustering process. Generally these steps are processed separately since the existing validity measures are not intended to express the interpretability or the non interpretability of clusters. We propose in this paper to merge the validation and interpretation steps by using a new supervised measure(More)
This paper firstly presents spatio-temporal data and road traffic application function-alities. Then, the authors show how the storage of these data in a spatial datawarehouse offers new opportunities for these applications. Eventually, the first elements of the spatial dataware-house design are described. This work takes place in the CADDY project.(More)
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