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On detecting spatial outliers / D. Chen in Geoinformatica, vol 12 n° 4 (December 2008)  

Public [article]  inGeoinformatica > vol 12 n° 4 (December 2008) . - pp 455 - 475 Titre : On detecting spatial outliers Type de document : Article/Communication Auteurs : D. Chen, Auteur ; C.T. Lu, Auteur ; Y. Kou, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 455 - 475 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] exploration de données géographiques [Termes IGN] méthode robuste [Termes IGN] qualité des données [Termes IGN] valeur aberrante Résumé : (Auteur) The ever-increasing volume of spatial data has greatly challenged our ability to extract useful but implicit knowledge from them. As an important branch of spatial data mining, spatial outlier detection aims to discover the objects whose non-spatial attribute values are significantly different from the values of their spatial neighbors. These objects, called spatial outliers, may reveal important phenomena in a number of applications including traffic control, satellite image analysis, weather forecast, and medical diagnosis. Most of the existing spatial outlier detection algorithms mainly focus on identifying single attribute outliers and could potentially misclassify normal objects as outliers when their neighborhoods contain real spatial outliers with very large or small attribute values. In addition, many spatial applications contain multiple non-spatial attributes which should be processed altogether to identify outliers. To address these two issues, we formulate the spatial outlier detection problem in a general way, design two robust detection algorithms, one for single attribute and the other for multiple attributes, and analyze their computational complexities. Experiments were conducted on a real-world data set, West Nile virus data, to validate the effectiveness of the proposed algorithms. Copyright Springer Numéro de notice : A2008-379 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-007-0038-8 En ligne : https://doi.org/10.1007/s10707-007-0038-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29372 [article]

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057-08041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Advances in GML for geospatial applications / C.T. Lu in Geoinformatica, vol 11 n° 1 (March - May 2007)  

Public [article]  inGeoinformatica > vol 11 n° 1 (March - May 2007) . - pp 131 - 157 Titre : Advances in GML for geospatial applications Type de document : Article/Communication Auteurs : C.T. Lu, Auteur ; R.F. Dos Santos, Auteur ; L.N. Sripada, Auteur ; Y. Kou, Auteur Année de publication : 2007 Article en page(s) : pp 131 - 157 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique [Termes IGN] base de données localisées [Termes IGN] diffusion de données [Termes IGN] données localisées [Termes IGN] GML [Termes IGN] traitement de données localisées [Termes IGN] XML Résumé : (Auteur) This paper presents a study of Geography Markup Language (GML), the issues that arise from using GML for spatial applications, including storage, parsing, querying and visualization, as well as the use of GML for mobile devices and web services. GML is a modeling language developed by the Open Geospatial Consortium (OGC) as a medium of uniform geographic data storage and exchange among diverse applications. Many new XML-based languages are being developed as open standards in various areas of application. It would be beneficial to integrate such languages with GML during the developmental stages, taking full advantage of a non-proprietary universal standard. As GML is a relatively new language still in development, data processing techniques need to be refined further in order for GML to become a more efficient medium for geospatial applications. Copyright Springer Numéro de notice : A2007-168 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-006-0013-9 En ligne : https://doi.org/10.1007/s10707-006-0013-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28531 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
057-07011	RAB	Revue	Centre de documentation	En réserve L003	Disponible