Spatial Databases 2005

Yannis Manolopoulos, Apostolos Papadopoulos, Michael Vassilakopoulos (Eds.): Spatial Databases: Technologies, Techniques and Trends. Idea Group 2005, ISBN 1-59140-388-X

Section I: Modelling and Systems

Jose Ramon Rios Viqueira, Nikos A. Lorentzos, Nieves R. Brisaboa: Survey on Spatial Data Modelling Approaches. 1-22
Alberto H. F. Laender, Karla A. V. Borges, Joyce C. P. Carvalho, Claudia Bauzer Medeiros, Altigran Soares da Silva, Clodoveu A. Davis: Integrating Web Data and Geographic Knowledge into Spatial Databases. 23-47

Section II: Indexing Techniques

Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl, Jost Enderle: Object-Relational Spatial Indexing. 49-80
Maude Manouvrier, Marta Rukoz, Geneviève Jomier: Quadtree-Based Image Representation and Retrieval. 81-106
Michail Vlachos, Marios Hadjieleftheriou, Eamonn J. Keogh, Dimitrios Gunopulos: Indexing Multi-Dimensional Trajectories for Similarity Queries. 107-128

Section III: Query Processing and Optimization

Antonio Corral, Michael Vassilakopoulos: Approximate Computation of Distance-Based Queries. 130-154
Nikos Mamoulis, Yannis Theodoridis, Dimitris Papadias: Spatial Joins: Algorithms, Cost Models and Optimization Techniques. 155-184

Section IV: Moving Objects

Ouri Wolfson, Eduardo Mena: Applications of Moving Objects Databases. 186-203
Katerina Raptopoulou, Apostolos N. Papadopoulos, Yannis Manolopoulos: Simple and Incremental Nearest-Neighbor Search for Spatiotemporal Databases. 204-224
Talel Abdessalem, Cédric du Mouza, José Moreira, Philippe Rigaux: Management of Large Moving Objects Datasets: Indexing, Benchmarking and Uncertainty in Movement Representation. 225-249

Section V: Data Mining

Margaret H. Dunham, Nathaniel Ayewah, Zhigang Li, Kathryn Bean, Jie Huang: Spatiotemporal Prediction using Data Mining Tools. 251-271
Junmei Wang, Wynne Hsu, Mong-Li Lee: Mining in Spatiotemporal Databases. 272-293
Giorgos Mountrakis, Peggy Agouris, Anthony Stefanidis: Similarity Learning in GIS: An Overview of Definitions, Prerequisites and Challenges. 294-321

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