Temporal, Spatial, and Spatio-Temporal Data Mining: First International Workshop TSDM 2000 Lyon, France, September 12, 2000 Revised Papers

Author:   John F. Roddick ,  Kathleen Hornsby
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2001 ed.
Volume:   2007
ISBN:  

9783540417736


Pages:   172
Publication Date:   28 February 2001
Format:   Paperback
Availability:   Out of stock   Availability explained
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Temporal, Spatial, and Spatio-Temporal Data Mining: First International Workshop TSDM 2000 Lyon, France, September 12, 2000 Revised Papers


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Overview

This 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 Details

Author:   John F. Roddick ,  Kathleen Hornsby
Publisher:   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:  

9783540417736


ISBN 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   Availability explained
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 Contents

Workshop 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.

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