Spatial Databases

Technologies, Techniques and Trends
Erscheinungsjahr 2004
ISBN: 978-1-59140-387-6
Verlag: Idea Group Publishing

Buch, Englisch, 300 Seiten, Hardback, Format (B × H): 183 mm x 260 mm, Gewicht: 872 g

Spatial Databases: Technologies, Techniques and Trends Introduces the reader to the world of spatial databases, and related subtopics. The broad range of topics covered within the chapters includes spatial data modeling, indexing of spatial and spatiotemporal objects, data mining and knowledge discovery in spatial and spatiotemporal management issues and query processing for moving objects. The reader will be able to get in touch with several important research issues the research community is dealing with today. Covering fundamental aspects up to advanced material, this book appeals to a broad computer science audience. Although perfect for specialists, each chapter is self-contained, making it easy for non-specialists to grasp the main issues involved.

Autoren/Hrsg.

Manalopoulos, Yannis

Papadapoulos, Apostolos N.

Manolopoulos, Yannis

Inhaltsverzeichnis

Section I: Modeling and Systems, Chapter I. Survey on Spatial Data Modeling Approaches, Chapter II. Integrating Web Data and Geographic Knowledge into Spatial Databases, Section II: Indexing Techniques, Chapter III. Object-Relational Spatial Indexing, Chapter IV. Quadtree-Based Image Representation and Retrieval, Chapter V. Indexing Multi-Dimensional Trajectories for Similarity Queries, Section III: Query Processing and Optimization, Chapter VII. Spatial Joins: Algorithms, Cost Models and Optimization Techniques, Section IV: Moving Objects, Chapter VIII. Applications of Moving Objects Databases, Chapter IX. Simple and Incremental Nearest-Neighbor Search in Spatiotemporal Databases, Chapter X. Management of Large Moving Objects Datasets: Indexing, Benchmarking and Uncertainty in Movement Representation, Section V: Data Mining, Chapter XI. Spatiotemporal Prediction using Data Mining Tools, Chapter XII. Mining in Spatiotemporal Databases, Chapter XIII. Similarity Learning in GIS: An Overview of Definitions, Prerequisites and Challenges

Über Autor(innen)

Yannis Manolopoulos was born in Thessaloniki, Greece in 1957. He received his 5-year Diploma degree in Electrical Engineering degree and his Ph.D. degree from Aristotle University of Thessaloniki in 1981 and 1986 respectively. Currently he is a Professor at the Department of Informatics of Aristotle University. Apostolos Papadopoulos was born in Eleftheroupolis, Greece in 1971. He received his 5-year Diploma degree in Computer Engineering and Informatics from the University of Patras and his Ph.D. degree from Aristotle University of Thessaloniki in 1994 and 2000 respectively. Currently, he is a Lecturer in the Department of Informatics of Aristotle University of Thessaloniki. Michael Gr. Vassilakopoulos was born in Thessaloniki, Greece in 1967. He received a B. Eng. (1990) in Computer Eng. and Informatics from the University of Patras and a Ph.D. (1995) In Electrical and Computer Eng. from the Aristotle University of Thessaloniki. Currently, he is an Associate Professor in the area of Databases at the Dept. of Informatics of the Technological Educational Institute of Thessaloniki.