Mining co-variation patterns from ecological data: a process to aid the construction and validation of computer models

Florent Arthaud Serge Fenet 1 Adriana Prado 2
1 DM2L - Data Mining and Machine Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : This paper presents the use of a data mining algorithm to extract co-variation patterns from ecological data. The system of interest is a network of shallow fish-ponds in the region of the Dombes, in France, from which we gathered more than 4 years of measures. These data were analysed and the extracted patterns were structured in a hypergraph that allowed us to infer the most pertinent parameters from which construct a dynamical model of a major vegetation/plakton relationship.
Type de document :
Communication dans un congrès
CompSust2012 : 3rd International Conference on Computational Sustainability, Jun 2012, University of Copenhagen, Denmark. pp.1-3, 2012
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https://hal.archives-ouvertes.fr/hal-01352996
Contributeur : Équipe Gestionnaire Des Publications Si Liris <>
Soumis le : mercredi 10 août 2016 - 16:18:21
Dernière modification le : jeudi 1 novembre 2018 - 01:21:10

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  • HAL Id : hal-01352996, version 1

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EC-LYON | LIRIS | INSA-LYON | UNIV-LYON1

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Florent Arthaud, Serge Fenet, Adriana Prado. Mining co-variation patterns from ecological data: a process to aid the construction and validation of computer models. CompSust2012 : 3rd International Conference on Computational Sustainability, Jun 2012, University of Copenhagen, Denmark. pp.1-3, 2012. 〈hal-01352996〉

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