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Recherche de séquences spatio-temporelles peu contredites dans des données hydrologiques

Abstract : In this paper, we propose a knowledge discovery process for hydrologic data. We adopt a sequential pattern algorithm applied on data from stations located along several rivers. Data are pre-treated according to different spatial proximities and the analysis of the number of patterns obtained highlights the influence of such defined relations. We propose an objective measure of validation, called the measure of temporal contradictionless, to help the expert to discover usual information. With this work, we move towards a new way of spatial indicator discovery to help interpretation of ecological monitoring of watercourses and pressure data.
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  • HAL Id : lirmm-01090662, version 1
  • IRSTEA : PUB00033862


Hugo Alatrista Salas, Jérôme Azé, Sandra Bringay, Flavie Cernesson, Frédéric Flouvat, et al.. Recherche de séquences spatio-temporelles peu contredites dans des données hydrologiques. Revue des Nouvelles Technologies de l'Information, Editions RNTI, 2012, MQDC 2012, RNTI-E-22, pp.165-188. ⟨lirmm-01090662⟩



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