Motifs spatio-temporels. Enjeux et applications à l'environnement

Translated title of the contribution: Spatiooral patterns. Challenges and applications to environment

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

Research output: Contribution to journalArticle in a journalpeer-review


Technological advances in terms of data acquisition enable to better monitor dynamic phenomena in various domains including environment. The collected data are more and more complex (spatial, temporal, heterogeneous and multi-scale). The exploitation of this data requires new methods of data analysis and knowledge discovery. In this context, approaches for discovering spatiooral patterns are particularly relevant. This paper proposes to make a detailed review of these works. We focus on two examples of patterns : colocation and spatiosequential patterns. These patterns have been used to study real applications in the field of environment.
Translated title of the contributionSpatiooral patterns. Challenges and applications to environment
Original languageFrench
Pages (from-to)619-648
Number of pages30
JournalRevue d'Intelligence Artificielle
Issue number4-5
StatePublished - 1 Dec 2013


  • Colocations
  • Sequential patterns
  • Spatiooral data mining


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