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Temporal, spatial, and spatio-temporal data mining / J.F. Roddick (2001)

Public 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 spatiale Résumé : (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 Spiliopoulou Numéro 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

Contient

• Join indices as a tool for spatial data mining / Karine Zeitouni (12/09/2000)

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
13158-01	CG2000	Livre	Centre de documentation	Congrès	Disponible