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Temporal, spatial, and spatio-temporal data mining / J.F. Roddick (2001)
Titre : Temporal, spatial, and spatio-temporal data mining : revised papers, First international workshop, TSDM 2000, Lyon, France, September 12, 2000 Type de document : Actes de congrès Auteurs : J.F. Roddick, Éditeur scientifique ; Kathleen Stewart Hornsby, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2001 Collection : Lecture notes in Computer Science Sous-collection : Lecture Notes in Artificial Intelligence Conférence : TSDM 2000, First international workshop Temporal, spatial, and spatio-temporal data mining 12/09/2000 12/09/2000 Lyon France Importance : 163 p. Format : 15 x 24 cm ISBN/ISSN/EAN : 978-3-540-41773-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle
[Termes IGN] exploration de données
[Termes IGN] exploration de données géographiques
[Termes IGN] jointure spatialeRésumé : (Auteur) This volume contains updated versions of the ten papers presented at the First International Workshop on Temporal, Spatial and Spatio-Temporal Data Mining (TSDM 2000) held in conjunction with the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2000) in Lyons, France in September, 2000. The aim of the workshop was to bring together experts in the analysis of temporal and spatial data mining and knowledge discovery in temporal, spatial or spatio-temporal database systems as well as knowledge engineers and domain experts from allied disciplines. The workshop focused on research and practice of knowledge discovery from datasets containing explicit or implicit temporal, spatial or spatio-temporal information. The ten original papers in this volume represent those accepted by peer review following an international call for papers. All papers submitted were refereed by an international team of data mining researchers listed below. We would like to thank the team for their expert and useful help with this process. Following the workshop, authors were invited to amend their papers to enable the feedback received from the conference to be included in the final papers appearing in this volume. A workshop report was compiled by Kathleen Hornsby which also discusses the panel session that was held. In late 1998, a bibliography of temporal, spatial and spatio-temporal data mining research papers was compiled by John Roddick and Myra Spiliopoulou and published in SigKDD Explorations. Following the dramatic increase in interest in this area over the past few years, it was decided that an update to this bibliography was warranted and should be included in this volume. It is our contention that temporal, spatial and spatio-temporal data mining holds many promises. We hope this volume, as well as the TSDM Workshop series, is useful in adding to the body of knowledge in this area. Note de contenu : - Workshop Report International Workshop on Temporal, Spatial, and Spatiotemporal Data Mining TSDM 2000 / Kathleen Homsby
- Discovering Temporal Patterns in Multiple Granularities / Yingjiu Li, X. Sean Wang, and Sushil Jajodia
- Refined Time Stamps for Concept Drift Detection During Mining for Classification Rules / Ray J. Hickey and Michaela M. Black
- KHarmonic Means A Spatial Clustering Algorithm with Boosting / Bin Zhang, Meichun Hsu, and Umesh Dayal
- Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events / Richard J. Povinelli
- Value Range Queries on Earth Science Data via Histogram Clustering / Ruixin Yang, KwangSu Yang, Menas Kafatos, and X. Sean Wang
- Fast Randomized Algorithms for Robust Estimation of Location / V1adimir EstivillCastro and Michael E. Houle
- Rough Sets in Spatiotemporal Data Mining / Thomas Bittner
- Join Indices as a Tool for Spatial Data Mining - Kadne Zeitouni, Laurent Yeh, and MadeAude Aufaure
- Data Mining with Calendar Attributes - Howard J. Hamilton and Dee Jay Randall
- AUTOCLUST+: Automatic Clustering of PointData Sets in the Presence of Obstacles - Vladimir EstivillCastro and Ickjai Lee
- An Updated Bibliography of Temporal, Spatial, and Spatiotemporal Data Mining Research - John F. Roddick, Kathleen Hornsby, and Myra SpiliopoulouNuméro de notice : 13158 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Actes Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=34617 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 13158-01 CG2000 Livre Centre de documentation Congrès Disponible The 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)
[article]
Titre : The integration of geographic visualization with knowledge discovery in databases and geocomputation Type de document : Article/Communication Auteurs : M. Gahegan, Auteur ; Monica Wachowicz, Auteur ; et al., Auteur Année de publication : 2001 Article en page(s) : pp 29 - 44 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique
[Termes IGN] analyse visuelle
[Termes IGN] base de connaissances
[Termes IGN] base de données localisées
[Termes IGN] cartographie numérique
[Termes IGN] découverte de connaissances
[Termes IGN] état de l'art
[Termes IGN] exploration de données géographiques
[Termes IGN] visualisationRésumé : (Auteur) This paper details the research agenda of the International Cartographic Association Commission on Visualization / Working group on Database-Visualization Links. The paper stressed the need for the closer integration of the three largely disparate technologies : geographic visualization, knowledge discovery in databases, and geocomputation. The introduction explains the meaning behind these terms, the ethos behind their practice, and their connections within the broad realm of knowledge construction activities. The state of the art is then described for different approaches to knowledge construction, concentrating where possible on visual and geographically oriented methods. From these sections, a research agenda is synthetized in the form of three sets of research questions adressing : (1) Visual approches to data mining ; (2) visual support for knowledge construction and geocomputation ; and (3) database and data models that must be satisfied to make visually-led knowledge construction a reality in the geographic realm. Conclusions relate this agenda to issues of (1) data, (2) geographic knowledge, and (3) the visualization environment and pose significant challenges to the way currently represent geographic information and knowledge within computational systems. Numéro de notice : A2001-160 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304001782173952 En ligne : https://doi.org/10.1559/152304001782173952 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21855
in Cartography and Geographic Information Science > vol 28 n° 1 (January 2001) . - pp 29 - 44[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-01011 RAB Revue Centre de documentation En réserve L003 Disponible Wissensbasierte Interpretation von Vegetationsflächen aus multitemporalen Fernerkundungsdaten / Kian Pakzad (2001)
Titre : Wissensbasierte Interpretation von Vegetationsflächen aus multitemporalen Fernerkundungsdaten Titre original : [L'interprétation basée sur les connaissances des surfaces végétales a partir de données de télédétection multi temporelles] Type de document : Thèse/HDR Auteurs : Kian Pakzad, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 2001 Collection : DGK - C Sous-collection : Dissertationen num. 543 Importance : 104 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-7696-9582-3 Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] classification à base de connaissances
[Termes IGN] image multitemporelle
[Termes IGN] interprétation automatique
[Termes IGN] lande
[Termes IGN] réseau sémantique
[Termes IGN] segmentation d'image
[Termes IGN] surveillance de la végétation
[Termes IGN] système expertRésumé : (Auteur) The thesis in hand presents a general concept for the automatic interpretation of remote sensing data with the interpretation of vegetation areas brought into focus, which uses both structural features and temporal knowledge. Based on this concept, a method for automatic multitemporal interpretation of moorland is explained. The developed procedures rely on a knowledge based image analysis system, which uses Semantic Nets for knowledge representation in standard language. During the interpretation process these are used for deriving hypotheses by applying a continuous symbolic processing, to verify them, and thus gain a symbolic description of the examined landscape scene. Verification of the hypotheses is carried out in the remote sensing data using specific processing operators.
The introduced general concept for interpretation of remote sensing data groups the object classes found in the landscape into various categories, according to their characteristics. Thus object classes were discerned which possess a given geometry, given texture, given pattern, or characteristic features. Interpretation strategies are suggested for each category, which relate to the creation of the semantic nets as well as to the specific image processing operators. Then the interpretation of vegetation areas belonging to the latter category is brought into focus. As such areas often are inhomogeneous and show numerous structures, the approaches of multispectral classification applied so far are less suitable as they result in oversegmentation, and either do not or to a little extent utilize structural features for interpretation. The new strategy presented here proceeds from given segment borders and searches for structural features within the borders. Such structural features are described by standard language and may be for example "tracks", "irregular structure", or "vegetation". Their verification in the images is done by feature analysis operators.
For interpretation of temporal changes a new concept is suggested, which discretely describes temporal conditions of regions, and which transfers the most probable temporal changes of the given conditions as temporal knowledge into a state transition diagram, then using it for multitemporal interpretation. Thus the temporal history of the past interpretations is used for the interpretation of images of a particular epoch by favouring certain interpretation methods, and a priori excluding others.
Based on the described approaches a procedure for automatic multitemporal interpretation of industrially used moorland was successfully developed. Proceeding from an initial segmentation based on GeoData a resegmentation and an interpretation of the segments is carried out for each investigated epoch. By using temporal knowledge it is possible to separate moor classes, which can only be detected in temporal order. The application of temporal knowledge and structural features enables the exclusive use of grey scale images for interpretation of vegetation areas. The results show that the presented procedure is suitable for multitemporal interpretation of moorland, and that it is able to distinguish additional moor classes compared to the approaches used so far. It is further applicable for a more robust multitemporal interpretation, and does not depend on colour images.Numéro de notice : 13067 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=54867 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 13067-01 35.41 Livre Centre de documentation Télédétection Disponible Join indices as a tool for spatial data mining / Karine Zeitouni (12/09/2000)
Titre : Join indices as a tool for spatial data mining Type de document : Article/Communication Auteurs : Karine Zeitouni, Auteur ; Laurent Yeh, Auteur ; Marie-Aude Aufaure Portier, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 12/09/2000 Collection : Lecture notes in Computer Science Sous-collection : Lecture Notes in Artificial Intelligence Conférence : TSDM 2000, Temporal spatial and spatio-temporal data mining 12/09/2000 12/09/2000 Lyon France Importance : pp 105 - 116 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] exploration de données
[Termes IGN] exploration de données géographiques
[Termes IGN] jointure spatialeRésumé : (Auteur) The growing production of maps is generating huge volume of data stored in large spatial databases. This huge volume of data exceeds the human analysis capabilities. Spatial data mining methods, derived from data mining methods, allow the extraction of knowledge from these large spatial databases, taking into account the essential notion of spatial dependency. This paper focuses on this specificity of spatial data mining by showing the suitability of join indices to this context. It describes the join index structure and shows how it could be used as a tool for spatial data mining. Thus, this solution brings spatial criteria support to non-spatial information systems. Numéro de notice : C2000-012 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64906 Hungary: Hunagi builds for the future - building the knowledge base - flood analysis using aerial photography - hyper competition raises the stakes - model - making Hungarian style / B. Markus in GeoEurope, vol 9 n° 6 (01/06/2000)
[article]
Titre : Hungary: Hunagi builds for the future - building the knowledge base - flood analysis using aerial photography - hyper competition raises the stakes - model - making Hungarian style Type de document : Article/Communication Auteurs : B. Markus, Auteur ; Z. Paulovics, Auteur ; et al., Auteur Année de publication : 2000 Article en page(s) : pp 35 - 40 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique
[Termes IGN] base de connaissances
[Termes IGN] équipement collectif
[Termes IGN] Hongrie
[Termes IGN] inondation
[Termes IGN] photographie aérienne
[Termes IGN] réseau téléphonique
[Termes IGN] système d'information géographiqueNuméro de notice : A2000-015 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82535
in GeoEurope > vol 9 n° 6 (01/06/2000) . - pp 35 - 40[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 066-00061 RAB Revue Centre de documentation En réserve L003 Disponible Le data mining spatial : une nouvelle voie pour les SIG ? / Françoise de Blomac in SIG la lettre, n° 17 (mai 2000)PermalinkIdentity-based change: a foundation for spatio-temporal knowledge representation / Kathleen Stewart Hornsby in International journal of geographical information science IJGIS, vol 14 n° 3 (april 2000)PermalinkLe data mining spatial et les bases de données spatiales / Karine Zeitouni (2000)PermalinkPermalinkPermalinkGeographical domain and geographical information systems / Stephan Winter (2000)PermalinkJournées data mining spatial et analyse du risque, Versailles, 24 - 25 février 2000 / Sylvain Lassarre (2000)PermalinkKnowledge acquisition for generalization rules / T. Kilpelainen in Cartography and Geographic Information Science, vol 27 n° 1 (January 2000)PermalinkKnowledge acquisition for the automatic interpretation of spatial data / Monika Sester in International journal of geographical information science IJGIS, vol 14 n° 1 (january 2000)PermalinkLearning Abstraction and Representation Knowledge: an Application to Cartographic Generalisation / Jean Daniel Zucker (2000)PermalinkRecent issues on fuzzy databases / G. Bordonia (2000)PermalinkRévision d'une base de connaissances : Application à la généralisation cartographique / Sylvain Bard (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)PermalinkDeveloping rules for map design: a functional specification for a cartographic-design expert system / David Forrest in Cartographica, vol 36 n° 3 (September 1999)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)PermalinkConstructing knowledge from multivariate spatiotemporal data : integrating geographical visualization with knowledge discovery in database methods / Alan M. MacEachren in International journal of geographical information science IJGIS, vol 13 n° 4 (July 1999)Permalinkvol 13 n° 4 - July 1999 - Visualisation for exploration of spatial data (Bulletin de International journal of geographical information science IJGIS)PermalinkGeographic information: its nature, classification and cartographic representation / David Forrest in Cartographica, vol 36 n° 2 (June 1999)PermalinkActes de IC'99, Conférence ingénierie des connaissances 99, Ecole Polytechnique, Palaiseau, 14-18 juin 1999 / Régine Teulier (1999)Permalink