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Aristotle University

Department of Informatics

 

 
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Spatial Databases:
Technologies, Techniques and Trends

Manolopoulos, Y., Papadopoulos, A., Vassilakopoulos, M. Gr.
Publisher: Idea Group Publishing
2005, 358 p., Hardcover
ISBN:  1-59140-387-1
Description | Table of Contents

Table of Contents

Section I: Modelling and Systems

Chapter I. Survey on Spatial Data Modelling Approaches

Jose R.Rios Viqueira, University of Athens Coruna Nikos A. Lorentzos, Agricultural University of Athens Nieves R. Brisaboa, University of Athens Coruna

Chapter II. Integrating Web Data and Geographic Knowledge into Spatial Databases

Alberto H.F. Laender, UFMG – Federal University of Minas Gerais
Karla A.V. Borges, UFMG – Federal University of Minas Gerais
Joyce C.P. Carvalho, UFMG – Federal University of Minas Gerais
Claudia B. Medeiros, UNICAMP – University of Campinas
Altigran S. da Silva, Federal University of Amazonas Clodoveu A. Davis Jr., PRODABEL – Information Technology Company for the City of Belo Horizonte

Section II: Indexing Techniques

Chapter III. Object-Relational Spatial Indexing

Hans-Peter Kriegel, University of Munich
Martin Pfeifle, University of Munich
Marco Potke, Software Design & Management AG Thomas Seidl, Department of Computer Science IX, Aachen
Jost Enderle, Department of Computer Science IX, Aachen

Chapter IV. Quadtree-Based Image Representation and Retrieval

Maude Manouvrier, LAMSADE – University Paris-Dauphine
Marta Rukoz, CCPD – Universidad Central de Venezuela
Genevieve Jomier, LAMSADE – University Paris-Dauphine

Chapter V. Indexing Multi-Dimensional Trajectories for Similarity Queries

Michail Vlachos, University of California-Riverside Marios Hadjieleftheriou, University of California-Riverside
Eamonn Keogh, University of California-Riverside Dimitrios Gunopoulos, University of California-Riverside

Section III: Query Processing and Optimization

Chapter VI. Approximate Computation of Distance-Based Queries

Antonio Leopoldo Corral Liria, University of Almeria
Michael Vassilakopoulos, Technological Educational Institute of Thessaloniki

 

 

Chapter VII. Spatial Joins: Algorithms, Cost Models and Optimization Techniques

Nikos Mamoulis, University of Hong Kong
Yannis Theodoridis, University of Piraeus
Dimitris Papadias, Hong Kong University of Science and Technology

Section IV: Moving Objects

Chapter VIII. Applications of Moving Objects Databases

Ouri Wolfson, University of Illinois
Eduardo Mena, University of Zaragoza

Chapter IX. Simple and Incremental Nearest-Neighbor Search for Spatiotemporal Databases

Katerina Raptopoulou, Aristotle University of Thessaloniki
Apostolos N. Papadopoulos, Aristotle University of Thessaloniki
Yannis Manolopoulos, Aristotle University of Thessaloniki

Chapter X. Management of Large Moving Objects Datasets: Indexing, Benchmarking and Uncertainty in Movement Representation

Talel Abdessalem, Ecole Nationale Superieure des Telecommunications
Cedric du Mouza, Conservatoire National des Arts et Metiers
Josι Moreira, Universidade Portucalense
Philippe Rigaux, University of Paris Sud

Section V: Data Mining

Chapter XI. Spatiotemporal Prediction using Data Mining Tools

Margaret H. Dunham, Southern Methodist University Nathaniel Ayewah, Southern Methodist University Zhigang Li, Southern Methodist University
Kathryn Bean, Southern Methodist University
Jie Huang, University of Texas Southwestern

Chapter XII. Mining in Spatiotemporal Databases

Junmei Wang, National University of Singapore
Wynne Hsu, National University of Singapore
Mong Li Lee, National University of Singapore

Chapter XIII. Similarity Learning in GIS: An Overview of Definitions, Prerequisites and Challenges

Giorgos Mountrakis, University of Maine
Peggy Agouris, University of Maine
Anthony Stefanidis, University of Maine