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Termes IGN > informatique > intelligence artificielle > ingénierie des connaissances > découverte de connaissances > exploration de données > exploration de données géographiques
exploration de données géographiquesSynonyme(s)fouille exploratoire de données géographiques |
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Mining long, sharable patterns in trajectories of moving objects / G. Gidofalvi in Geoinformatica, vol 13 n° 1 (March 2009)
[article]
Titre : Mining long, sharable patterns in trajectories of moving objects Type de document : Article/Communication Auteurs : G. Gidofalvi, Auteur ; T.B. Pedersen, Auteur Année de publication : 2009 Article en page(s) : pp 27 - 55 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] base de données d'objets mobiles
[Termes IGN] base de données spatiotemporelles
[Termes IGN] exploration de données géographiques
[Termes IGN] itinéraire
[Termes IGN] objet mobile
[Termes IGN] reconstruction d'itinéraire ou de trajectoireRésumé : (Auteur) The efficient analysis of spatio-temporal data, generated by moving objects, is an essential requirement for intelligent location-based services. Spatio-temporal rules can be found by constructing spatio-temporal baskets, from which traditional association rule mining methods can discover spatio-temporal rules. When the items in the baskets are spatio-temporal identifiers and are derived from trajectories of moving objects, the discovered rules represent frequently travelled routes. For some applications, e.g., an intelligent ridesharing application, these frequent routes are only interesting if they are long and sharable, i.e., can potentially be shared by several users. This paper presents a database projection based method for efficiently extracting such long, sharable frequent routes. The method prunes the search space by making use of the minimum length and sharable requirements and avoids the generation of the exponential number of sub-routes of long routes. Considering alternative modelling options for trajectories, leads to the development of two effective variants of the method. SQL-based implementations are described, and extensive experiments on both real life- and large-scale synthetic data show the effectiveness of the method and its variants. Copyright Springer Numéro de notice : A2009-004 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-007-0042-z En ligne : https://doi.org/10.1007/s10707-007-0042-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29634
in Geoinformatica > vol 13 n° 1 (March 2009) . - pp 27 - 55[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-09011 RAB Revue Centre de documentation En réserve L003 Disponible Topological feature vectors for exploring topological relationships / R. Praing in International journal of geographical information science IJGIS, vol 23 n°3-4 (march - april 2009)
[article]
Titre : Topological feature vectors for exploring topological relationships Type de document : Article/Communication Auteurs : R. Praing, Auteur ; Monique Schneider, Auteur Année de publication : 2009 Article en page(s) : pp 319 - 353 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] détail topographique
[Termes IGN] données vectorielles
[Termes IGN] exploration de données géographiques
[Termes IGN] primitive géométrique
[Termes IGN] relation topologiqueRésumé : (Auteur) Topological relationships between spatial objects such as overlap, disjoint, and inside have for a long time been a focus of research in a number of disciplines like cognitive science, robotics, linguistics, artificial intelligence, and spatial reasoning. In particular as predicates, they support the design of suitable query languages for spatial data retrieval and analysis in spatial database systems and Geographic Information Systems. While conceptual aspects of topological predicates (like their definition and reasoning with them) as well as strategies for avoiding unnecessary or repetitive predicate evaluations (like predicate migration and spatial index structures) have been emphasized, the development of correct and efficient implementation techniques for them has been rather neglected. Recently, the design of topological predicates for different combinations of complex spatial data types has led to a large increase of their numbers and accentuated the need for their efficient implementation. The goal of this article is to develop efficient implementation techniques of topological predicates for all combinations of the complex spatial data types point2D, line2D, and region2D, as they have been specified by different authors and in different commercial and public domain software packages. Our solution is a two-phase approach. In the exploration phase, for a given scene of two spatial objects, all topological events like intersection and meeting situations are recorded in two precisely defined topological feature vectors (one for each argument object of a topological predicate) whose specifications are characteristic and unique for each combination of spatial data types. These vectors serve as input for the evaluation phase which analyzes the topological events and determines the Boolean result of a topological predicate or the kind of topological predicate. This paper puts an emphasis on the exploration phase and the definition of the topological feature vectors. In addition, it presents a straightforward evaluation method. Copyright Taylor & Francis Numéro de notice : A2009-153 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802001305 En ligne : https://doi.org/10.1080/13658810802001305 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29783
in International journal of geographical information science IJGIS > vol 23 n°3-4 (march - april 2009) . - pp 319 - 353[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-09021 RAB Revue Centre de documentation En réserve L003 Disponible 079-09022 RAB Revue Centre de documentation En réserve L003 Disponible
[article]
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 aberranteRésumé : (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
in Geoinformatica > vol 12 n° 4 (December 2008) . - pp 455 - 475[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-08041 RAB Revue Centre de documentation En réserve L003 Disponible Resolution control for balancing overview and detail in multivariate spatial analysis / J. Chen in Cartographic journal (the), vol 45 n° 4 (November 2008)
[article]
Titre : Resolution control for balancing overview and detail in multivariate spatial analysis Type de document : Article/Communication Auteurs : J. Chen, Auteur ; Alan M. MacEachren, Auteur Année de publication : 2008 Article en page(s) : pp 261 - 273 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse multivariée
[Termes IGN] données socio-économiques
[Termes IGN] exploration de données géographiques
[Termes IGN] niveau d'analyse
[Termes IGN] visualisationRésumé : (Auteur) Parallel coordinates, re-orderable matrices, and dendrograms, widely used methods for visual exploration of multivariate data, are systematically integrated in a complementary manner for supporting multi-resolution visual data analysis with an enhanced overview + detail exploratory strategy. There are three main topics: (1) dynamic control across resolutions at which data are explored; (2) coordination and color mapping among the views; and (3) enhanced features of each view designed for the overview + detail exploratory tasks. A case study analysis is used to demonstrate the potential for boosting productivity for exploration tasks by coordinating the views through user-controlled resolutions within a highly interactive analysis environment. The case study is focused on a complex, geographically referenced dataset including public health, demographic and environmental components. Copyright British Cartographic Society Numéro de notice : A2008-467 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/174327708X347764 En ligne : https://doi.org/10.1179/174327708X347764 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29536
in Cartographic journal (the) > vol 45 n° 4 (November 2008) . - pp 261 - 273[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 030-08041 RAB Revue Centre de documentation En réserve L003 Disponible The time wave: a new method of visual exploration of geo-data in timespace / X. Li in Cartographic journal (the), vol 45 n° 3 (August 2008)
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Titre : The time wave: a new method of visual exploration of geo-data in timespace Type de document : Article/Communication Auteurs : X. Li, Auteur ; Menno-Jan Kraak, Auteur Année de publication : 2008 Article en page(s) : pp 193 - 200 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] espace-temps
[Termes IGN] exploration de données géographiques
[Termes IGN] onde
[Termes IGN] représentation graphiqueRésumé : (Auteur) Today's data-rich environment creates its own problems since exploring and analysing vast volumes of spatio-temporal data have become increasingly difficult. It is suggested to approach this problem not only via location-space or attribute-space as is traditionally done in GIScience, but also via time-space. This time-visualisation approach considers the data, the user tasks and the visualisation representations, and aims to improve accessibility, exploration and analysis of huge amounts of geo-data to support geovisual analytics. To reach this objective, the time wave as the temporal visual representation is introduced. The time wave combines the strengths of both the timeline and the time wheel and as such is able to represent linear and cyclic time simultaneously, even at different levels of granularity. The time wave can be used in its role as temporal reference system, as temporal data representation tool, and as temporal interaction tool. It functions in combination with other graphic representations that are typical for location-space and attribute-space. Copyright British Cartographic Society Numéro de notice : A2008-275 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/000870408X311387 En ligne : https://doi.org/10.1179/000870408X311387 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29268
in Cartographic journal (the) > vol 45 n° 3 (August 2008) . - pp 193 - 200[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 030-08031 RAB Revue Centre de documentation En réserve L003 Disponible Regionalization with dynamically constrained agglomerative clustering and partitioning (REDCAP) / D. Guo in International journal of geographical information science IJGIS, vol 22 n° 6-7 (june 2008)PermalinkReducing uninteresting spatial association rules in geographic databases using background knowledge: a summary of results / Vania Bogorny in International journal of geographical information science IJGIS, vol 22 n° 4-5 (april 2008)PermalinkEmbedding sustainable development strategies in agent-based models for use as a planning tool / X. Li in International journal of geographical information science IJGIS, vol 22 n° 1-2 (february 2008)PermalinkA rough set approach to the discovery of classification rules in spatial data / Yee Leung in International journal of geographical information science IJGIS, vol 21 n° 9-10 (october 2007)PermalinkTowards a framework for mining and analysing spatio-temporal datasets / Michela Bertolotto in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)PermalinkVisual analytics of spatial interaction patterns for pandemic decision support / D. Guo in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)PermalinkEfficient detection of patterns in 2D trajectories of moving points / J. Gudmundsson in Geoinformatica, vol 11 n° 2 (June - August 2007)PermalinkGEOIRIS : GEOspatial Information Retrieval and Indexing System-content mining, semantics modeling, and complex queries / C.R. Shyu in IEEE Transactions on geoscience and remote sensing, vol 45 n° 4 (April 2007)PermalinkLocal statistical spatial analysis [LoSSA]: Inventory and prospect / B. Boots in International journal of geographical information science IJGIS, vol 21 n° 3-4 (march - april 2007)PermalinkNET-DBSCAN: clustering the nodes of a dynamic linear network / Emmanuel Stefanakis in International journal of geographical information science IJGIS, vol 21 n° 3-4 (march - april 2007)PermalinkFast cluster polygonization and its applications in data-rich environments / I. Lee in Geoinformatica, vol 10 n° 4 (December 2006)PermalinkReactions to geovisualization: an experience from a European project / Gennady Andrienko in International journal of geographical information science IJGIS, vol 20 n° 10 (november 2006)PermalinkOgive-based legends for choropleth mapping / R.G. Cromley in Cartography and Geographic Information Science, vol 33 n° 4 (October 2006)PermalinkExploratory analysis of spatial and temporal data / Natalia Andrienko (2006)PermalinkProgress in Spatial Data Handling : 12th International Symposium on Spatial Data Handling / Andreas Riedl (2006)PermalinkSOLAP technology: merging business intelligence with geospatial technology for interactive spatio-temporal exploration and analysis of data / Sonia Rivest in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 1 (December 2005 - March 2006)PermalinkCombining usability techniques to design geovisualization tools for epidemiology / Antony C. Robinson in Cartography and Geographic Information Science, vol 32 n° 4 (October 2005)PermalinkAn algebraic approach to automated geospatial information fusion / Matt Duckham in International journal of geographical information science IJGIS, vol 19 n° 5 (may 2005)PermalinkColour-coded pixel-based highly interactive web mapping for georeferenced data exploration / H. Zhao in International journal of geographical information science IJGIS, vol 19 n° 4 (april 2005)PermalinkRévéler les rythmes urbains quotidiens par la carte animée / Arnaud Banos in Revue internationale de géomatique, vol 15 n° 1 (mars – mai 2005)PermalinkSparse grids: a new predictive modelling method for the analysis of geographic data / S.W. Laffan in International journal of geographical information science IJGIS, vol 19 n° 3 (march 2005)PermalinkApplication des réseaux bayésiens de classification dans les systèmes d'informatin géographique / Marie-Aline Cavarroc (2005)PermalinkData mining of cellular automata's transition rules / X. Li in International journal of geographical information science IJGIS, vol 18 n° 8 (december 2004)PermalinkClustering with obstacles for geographical data mining / V. Estivill-Castro in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 1-2 (August 2004 - April 2005)PermalinkImplementation and evaluation of a hypercube-based method for spatiotemporal exploration and analysis / Pierre Marchand in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 1-2 (August 2004 - April 2005)PermalinkFouille de données spatiales / Nadjim Chelghoum (2004)PermalinkLe CRG [centre de recherche en géomatique] : une autre approche de la recherche / Françoise de Blomac in SIG la lettre, n° 40 (octobre 2002)PermalinkAdvances in Spatial Data Handling : 10th International Symposium on Spatial Data Handling / Dianne Richardson (2002)PermalinkTemporal, spatial, and spatio-temporal data mining / J.F. Roddick (2001)PermalinkThe integration of geographic visualization with knowledge discovery in databases and geocomputation / M. Gahegan in Cartography and Geographic Information Science, vol 28 n° 1 (January 2001)PermalinkJoin indices as a tool for spatial data mining / Karine Zeitouni (12/09/2000)PermalinkLe data mining spatial : une nouvelle voie pour les SIG ? / Françoise de Blomac in SIG la lettre, n° 17 (mai 2000)PermalinkLe data mining spatial et les bases de données spatiales / Karine Zeitouni (2000)PermalinkPermalinkPermalinkJournées data mining spatial et analyse du risque, Versailles, 24 - 25 février 2000 / Sylvain Lassarre (2000)PermalinkLe data mining spatial et les bases de données spatiales / Karine Zeitouni in Revue internationale de géomatique, vol 9 n° 4 (décembre 1999- février 2000)Permalink3D shape histograms for similarity search and classification in spatial databases / M. Ankerst (20/07/1999)PermalinkEfficient polygon amalgamation methods for spatial OLAP and spatial data mining / X. Zhou (20/07/1999)PermalinkAdvances in spatial data bases, SSD '99, 6th International Symposium, Hong Kong, China, July 20-23, 1999 / Ralf Hartmut Güting (1999)PermalinkData quality in geographic information / Robert Jeansoulin (1998)PermalinkAdvances in spatial data bases, 5th International Symposium, SSD '97, Berlin, Germany, July 15-18 1997 / Agnès Voisard (1997)PermalinkPermalinkInterpreting space / K. Allen (1990)Permalink