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Introduction

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Spatio-Temporal Databases

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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Abstract

The wide availability and use of location and mobile technologies (e.g. cheap GPS devices, ubiquitous cellular networks, RFID (Radio-Frequency Identification) tags), has enabled many applications that generate and maintain large amounts of data in the form of trajectories (see [14] for a survey on trajectory data).

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References

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  6. Vieira, M.R., Bakalov, P., Tsotras, V.J.: On-line discovery of flock patterns in spatio-temporal data. In: Proceedings of the ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 286–295. ACM (2009). DOI http://dx.doi.org/10.1145/1653771.1653812

  7. Vieira, M.R., Bakalov, P., Tsotras, V.J.: Querying trajectories using flexible patterns. In: Proceedings of the International Conference on Extending Database Technology (EDBT), pp. 406–417. ACM (2010). DOI http://dx.doi.org/10.1145/1739041.1739091

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  14. Zheng, Y., Zhou, X. (eds.): Computing with Spatial Trajectories. Springer (2011). DOI http://dx.doi.org/10.1007/978-1-4614-1629-6

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Authors and Affiliations

  1. IBM Research Laboratory Brazil, Rio de Janeiro, RJ, Brazil

    Marcos R. Vieira

  2. Department of Computer Science and Engineering, Bourns College of Engineering, University of California, Riverside, CA, USA

    Vassilis J. Tsotras

Authors
  1. Marcos R. Vieira
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  2. Vassilis J. Tsotras
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Correspondence to Marcos R. Vieira .

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Vieira, M.R., Tsotras, V.J. (2013). Introduction. In: Spatio-Temporal Databases. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-02408-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-02408-0_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02407-3

  • Online ISBN: 978-3-319-02408-0

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