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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Roddick, John F. (Editor, http://id.loc.gov/vocabulary/relators/edt), Hornsby, Kathleen (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.
• Edition: 1st ed. 2001.
• Series: Lecture Notes in Artificial Intelligence ; 2007
• Subjects: Database management.; Artificial intelligence.; Information storage and retrieval.; Application software.; Geographical information systems.; Database Management.; Artificial Intelligence.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; Geographical Information Systems/Cartography.

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 Prin- ples and Practice of Knowledge Discovery in Databases (PKDD 2000) in Ly...

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.