Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10411)
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 2017.
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Table of contents (32 papers)
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Front Matter
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Indexing and Aggregation
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Front Matter
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Data Mining
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Front Matter
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About this book
Keywords
- computational geometry
- critical evaluation of geospatial standards proposals
- crowdsourcing spatial data
- spatial and temporal access method
- spatial and temporal big data
- web information retrieval
- conceptual modeling
- data mining
- data warehousing
- database design
- database security
- geo-sensor networks
- knowledge discovery
- ontologies
- probablilistic geo-spatial data
- query optimization
- recommendation systems
- uncertain geo-spatial data
- user interfaces
- visualization
Editors and Affiliations
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Institute of Computer Science, Heidelberg University, Heidelberg, Germany
Michael Gertz
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George Mason University, Fairfax, USA
Matthias Renz
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University of Queensland, Brisbane, Australia
Xiaofang Zhou
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ESRI, University of Minnesota, Minneapolis, USA
Erik Hoel
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Auburn University, Auburn, USA
Wei-Shinn Ku
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Free University of Berlin, Dahlem, Germany
Agnes Voisard
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Microsoft, Redmond, USA
Chengyang Zhang
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California State University, Sacramento, USA
Haiquan Chen
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LinkedIn, Sunnyvale, USA
Liang Tang
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University of North Texas, Denton, USA
Yan Huang
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Virginia Tech, Falls Church, USA
Chang-Tien Lu
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Oracle, Redwood Shores, USA
Siva Ravada
Bibliographic Information
Book Title: Advances in Spatial and Temporal Databases
Book Subtitle: 15th International Symposium, SSTD 2017, Arlington, VA, USA, August 21 – 23, 2017, Proceedings
Editors: Michael Gertz, Matthias Renz, Xiaofang Zhou, Erik Hoel, Wei-Shinn Ku, Agnes Voisard, Chengyang Zhang, Haiquan Chen, Liang Tang, Yan Huang, Chang-Tien Lu, … Siva Ravada
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-64367-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-64366-3Published: 22 July 2017
eBook ISBN: 978-3-319-64367-0Published: 07 August 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 454
Number of Illustrations: 206 b/w illustrations
Topics: Database Management, Artificial Intelligence, Discrete Mathematics in Computer Science, Data Mining and Knowledge Discovery