Including spatial relations and scales within sequential pattern extraction

Abstract : Georeferenced databases contain a huge volume of temporal and spatial data. They are notably used in environmental analysis. Sev- eral works address the problem of mining those data, but none are able to take into account the richness of the data and especially their spatial and temporal dimensions. In this paper, we focus on the extraction of a new kind of spatio-temporal pattern, considering the relationship be- tween spatial objects and geographical scales. We propose an algorithm, STR PrefixGrowth, which can be applied to a huge amount of data. The proposed method is evaluated on hydrological data collected on the Saône watershed during the last 19 years. Our experiments emphasize the contribution of our approach toward the existing methods.
Type de document :
Communication dans un congrès
DS: Discovery Science, Oct 2012, Lyon, France. 15th International Conference on Discovery Science, LNCS/LNAI (7569), 2012, 〈http://eric.univ-lyon2.fr/ds-2012/〉
Liste complète des métadonnées

Littérature citée [16 références]  Voir  Masquer  Télécharger

https://hal-lirmm.ccsd.cnrs.fr/lirmm-00735617
Contributeur : Maguelonne Teisseire <>
Soumis le : mercredi 26 septembre 2012 - 11:48:24
Dernière modification le : mardi 29 mai 2018 - 12:50:51
Document(s) archivé(s) le : vendredi 16 décembre 2016 - 17:32:51

Fichier

DS2012.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : lirmm-00735617, version 1

Citation

Mickaël Fabrègue, Agnès Braud, Sandra Bringay, Florence Le Ber, Maguelonne Teisseire. Including spatial relations and scales within sequential pattern extraction. DS: Discovery Science, Oct 2012, Lyon, France. 15th International Conference on Discovery Science, LNCS/LNAI (7569), 2012, 〈http://eric.univ-lyon2.fr/ds-2012/〉. 〈lirmm-00735617〉

Partager

Métriques

Consultations de la notice

430

Téléchargements de fichiers

486