Abstract is missing.
- Workshop Report - International Workshop on Temporal, Spatial, and Spatio-temporal Data Mining - TSDM 2000Kathleen Hornsby. 1-4 [doi]
- Discovering Temporal Patterns in Multiple GranularitiesYingjiu Li, Xiaoyang Sean Wang, Sushil Jajodia. 5-19 [doi]
- Refined Time Stamps for Concept Drift Detection During Mining for Classification RulesRay J. Hickey, Michaela M. Black. 20-30 [doi]
- K-Harmonic Means - A Spatial Clustering Algorithm with BoostingBin Zhang, Meichun Hsu, Umeshwar Dayal. 31-45 [doi]
- Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series EventsRichard J. Povinelli. 46-61 [doi]
- Value Range Queries on Earth Science Data via Histogram ClusteringRuixin Yang, Kwang-Su Yang, Menas Kafatos, Xiaoyang Sean Wang. 62-76 [doi]
- Fast Randomized Algorithms for Robust Estimation of LocationVladimir Estivill-Castro, Michael E. Houle. 77-88 [doi]
- Rough Sets in Spatio-temporal Data MiningThomas Bittner. 89-104 [doi]
- Join Indices as a Tool for Spatial Data MiningKarine Zeitouni, Laurent Yeh, Marie-Aude Aufaure. 105-116 [doi]
- Data Mining with Calendar AttributesHoward J. Hamilton, Dee Jay Randall. 117-132 [doi]
- AUTOCLUST+: Automatic Clustering of Point-Data Sets in the Presence of ObstaclesVladimir Estivill-Castro, Ickjai Lee. 133-146 [doi]
- An Updated Bibliography of Temporal, Spatial, and Spatio-temporal Data Mining ResearchJohn F. Roddick, Kathleen Hornsby, Myra Spiliopoulou. 147-164 [doi]