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OverviewThis book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Temporal, Spatial, and Spatio-Temporal Data Mining, TSDM 2000, held in Lyon, France in September 2000 during the PKDD 2000 conference.The ten revised full papers presented are complemented by an introductory workshop report and an updated bibliography for the emerging new field; this bibliography is organized in nine topical chapters and lists more than 150 entries. All in all, the volume reflects the state of the art in the area and sets the scene for future R & D activities. Full Product DetailsAuthor: John F. Roddick , Kathleen HornsbyPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: 2001 ed. Volume: 2007 Dimensions: Width: 15.50cm , Height: 0.90cm , Length: 23.30cm Weight: 0.316kg ISBN: 9783540417736ISBN 10: 3540417737 Pages: 172 Publication Date: 28 February 2001 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Out of stock ![]() The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsWorkshop Report - International Workshop on Temporal, Spatial, and Spatio-temporal Data Mining - TSDM2000.- Discovering Temporal Patterns in Multiple Granularities.- Refined Time Stamps for Concept Drift Detection During Mining for Classification Rules.- K-Harmonic Means -A Spatial Clustering Algorithm with Boosting.- Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events.- Value Range Queries on Earth Science Data via Histogram Clustering.- Fast Randomized Algorithms for Robust Estimation of Location.- Rough Sets in Spatio-temporal Data Mining.- Join Indices as a Tool for Spatial Data Mining.- Data Mining with Calendar Attributes.- AUTOCLUST+: Automatic Clustering of Point-Data Sets in the Presence of Obstacles.- An Updated Bibliography of Temporal, Spatial, and Spatio-temporal Data Mining Research.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |