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Auteur Jean-François N’guyen Van Soc |
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Domain-driven co-location mining / Frédéric Flouvat in Geoinformatica, vol 19 n° 1 (January - March 2015)
[article]
Titre : Domain-driven co-location mining Type de document : Article/Communication Auteurs : Frédéric Flouvat, Auteur ; Jean-François N’guyen Van Soc, Auteur ; Elise Desmier, Auteur ; Nazha Selmaoui-Folcher, Auteur Année de publication : 2015 Article en page(s) : pp 147 - 183 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] co-positionnement
[Termes IGN] érosion
[Termes IGN] exploration de données géographiques
[Termes IGN] géologie
[Termes IGN] PostGIS
[Termes IGN] sol
[Termes IGN] système expert
[Termes IGN] visualisation cartographiqueRésumé : (auteur) Co-location mining is a classical problem in spatial pattern mining. Considering a set of boolean spatial features, the goal is to find subsets of features frequently located together. It has wide applications in environmental management, public safety, transportation or tourism. These last years, many algorithms have been proposed to extract frequent co-locations. However, most solutions do a “data-centered knowledge discovery” instead of a “expert-centered knowledge discovery”. Successfully providing useful and interpretable patterns to experts is still an open problem. In this setting, we propose a domain-driven co-location mining approach that combines constraint-based mining and cartographic visualization. Experts can push new domain constraints into the mining algorithm, resulting in more relevant patterns and more efficient extraction. Then, they can visualize solutions using a new concise and intuitive cartographic visualization of co-locations. Using this original visualization approach, they identify new interesting patterns, and use uninteresting ones to define new constraints and refine their analysis. These proposals have been integrated into a prototype based on PostGIS geographic information system. Experiments have been done using a real geological datasets studying soil erosion, and results have been validated by a domain expert. Numéro de notice : A2015-487 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-014-0209-3 En ligne : https://doi.org/10.1007/s10707-014-0209-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77250
in Geoinformatica > vol 19 n° 1 (January - March 2015) . - pp 147 - 183[article]