Editors:
- Proceedings of the 13th International Symposium on Spatial and Temporal Databases, SSTD 2013
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8098)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Conference series link(s): SSTD: International Symposium on Spatial and Temporal Databases
Conference proceedings info: SSTD 2013.
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Table of contents (35 papers)
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Front Matter
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Session 6: Trajectories and Road Network Data 2
About this book
Editors and Affiliations
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University of Alberta, Edmonton, Canada
Mario A. Nascimento
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RMIT University, Melbourne, Australia
Timos Sellis
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Department of Computer Science, The University of Hong Kong, Hong Kong
Reynold Cheng
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Dept. of Computing Science, University of Alberta, Edmonton, Canada,
Jörg Sander
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Microsoft Research Asis, Beijing, China
Yu Zheng
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Institute for Informatics, Ludwig Maximilian University, Munich, Germany
Hans-Peter Kriegel
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Institute for Informatics, Ludwig-Maximilians-Universität München, München, Germany
Matthias Renz
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Ruprecht-Karls-University, Heidelberg, Germany
Christian Sengstock
Bibliographic Information
Book Title: Spatial and Temporal Databases
Book Subtitle: 13th International Symposium, SSTD 2013, Munich, Germany, August 21-23, 2013, Proceedings
Editors: Mario A. Nascimento, Timos Sellis, Reynold Cheng, Jörg Sander, Yu Zheng, Hans-Peter Kriegel, Matthias Renz, … Christian Sengstock
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-40235-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Softcover ISBN: 978-3-642-40234-0Published: 08 August 2013
eBook ISBN: 978-3-642-40235-7Published: 17 July 2013
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVIII, 502
Number of Illustrations: 233 b/w illustrations
Topics: Database Management, Artificial Intelligence, Discrete Mathematics in Computer Science, Data Mining and Knowledge Discovery