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A probabilistic data model and algebra for location-based data warehouses and their implementation / Igor Timko in Geoinformatica, vol 18 n° 2 (April 2014)  

Public [article]  inGeoinformatica > vol 18 n° 2 (April 2014) . - pp 357 - 404 Titre : A probabilistic data model and algebra for location-based data warehouses and their implementation Type de document : Article/Communication Auteurs : Igor Timko, Auteur ; Curtis Dyreson, Auteur ; Toren Bach Pedersen, Auteur Année de publication : 2014 Article en page(s) : pp 357 - 404 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] base de données localisées [Termes IGN] entrepôt de données [Termes IGN] incertitude des données [Termes IGN] modèle stochastique [Termes IGN] service fondé sur la position [Termes IGN] SOLAP Résumé : (Auteur) This paper proposes a novel, probabilistic data model and algebra that improves the modeling and querying of uncertain data in spatial OLAP (SOLAP) to support location-based services. Data warehouses that support location-based services need to combine complex hierarchies, such as road networks or transportation infrastructures, with static and dynamic content, e.g., speed limits and vehicle positions, respectively. Both the hierarchies and the content are often uncertain in real-world applications. Our model supports the use of probability distributions within both facts and dimensions. We give an algebra that correctly aggregates uncertain data over uncertain hierarchies. This paper also describes an implementation of the model and algebra, gives a complexity analysis of the algebra, and reports on an empirical, experimental evaluation of the implementation. The work is motivated with a real-world case study, based on our collaboration with a leading Danish vendor of location-based services. Numéro de notice : A2014-229 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-013-0180-4 Date de publication en ligne : 21/05/2013 En ligne : https://doi.org/10.1007/s10707-013-0180-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33132 [article]

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