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John F. Roddick Kathleen Hornsby (Eds.) Temporal, Spatial, and Spatio-Temporal Data Mining First International Workshop, TSDM 2000 Lyon, France, September 12, 2000 Revised Papers Springer Table of Contents Workshop Report - International Workshop on Temporal, Spatial, and Spatio-temporal Data Mining - TSDM 2000 Kathleen Hornsby 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 if-Harmonic Means - A Spatial Clustering Algorithm with Boosting Bin Zhang, Meichun Hsu, and Umesh Dayal 1 5 20 31 Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events Richard J. Povinelli 46 Value R a n g e Queries on E a r t h Science D a t a via Histogram Clustering . . . . 62 Ruixin Yang, Kwang-Su Yang, Menas Kafatos, and X. Sean Wang Fast Randomized Algorithms for Robust Estimation of Location Vladimir Estivill-Castro and Michael E. Houle 77 Rough Sets in Spatio-temporal Data Mining Thomas Bittner 89 Join Indices as a Tool for Spatial Data Mining Karine Zeitouni, Laurent Yeh, and Marie-Aude Aufaure 105 Data Mining with Calendar Attributes Howard J. Hamilton and Dee Jay Randall 117 AUTOCLUST+: Automatic Clustering of Point-Data Sets in the Presence of Obstacles 133 Vladimir Estivill-Castro and Ickjai Lee An Updated Bibliography of Temporal, Spatial, and Spatio-temporal Data Mining Research 147 John F. Roddick, Kathleen Hornsby, and Myra Spiliopoulou Author Index 165