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  • Conference proceedings
  • © 2017

Advances in Spatial and Temporal Databases

15th International Symposium, SSTD 2017, Arlington, VA, USA, August 21 – 23, 2017, Proceedings

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)

  1. Front Matter

    Pages I-XIV
  2. Routing and Trajectories

    1. Front Matter

      Pages 1-1
    2. Multi-user Itinerary Planning for Optimal Group Preference

      • Liyue Fan, Luca Bonomi, Cyrus Shahabi, Li Xiong
      Pages 3-23
    3. On Privacy in Spatio-Temporal Data: User Identification Using Microblog Data

      • Erik Seglem, Andreas Züfle, Jan Stutzki, Felix Borutta, Evgheniy Faerman, Matthias Schubert
      Pages 43-61
  3. Big Spatial Data

    1. Front Matter

      Pages 63-63
    2. Sphinx: Empowering Impala for Efficient Execution of SQL Queries on Big Spatial Data

      • Ahmed Eldawy, Ibrahim Sabek, Mostafa Elganainy, Ammar Bakeer, Ahmed Abdelmotaleb, Mohamed F. Mokbel
      Pages 65-83
    3. ST-Hadoop: A MapReduce Framework for Spatio-Temporal Data

      • Louai Alarabi, Mohamed F. Mokbel, Mashaal Musleh
      Pages 84-104
    4. GeoWave: Utilizing Distributed Key-Value Stores for Multidimensional Data

      • Michael A. Whitby, Rich Fecher, Chris Bennight
      Pages 105-122
  4. Indexing and Aggregation

    1. Front Matter

      Pages 123-123
    2. Sweeping-Based Temporal Aggregation

      • Danila Piatov, Sven Helmer
      Pages 125-144
    3. Towards Spatially- and Category-Wise k-Diverse Nearest Neighbors Queries

      • Camila F. Costa, Mario A. Nascimento
      Pages 163-181
    4. Spatio-Temporal Functional Dependencies for Sensor Data Streams

      • Manel Charfi, Yann Gripay, Jean-Marc Petit
      Pages 182-199
  5. Recommendation

    1. Front Matter

      Pages 201-201
    2. Location-Aware Query Recommendation for Search Engines at Scale

      • Zhipeng Huang, Nikos Mamoulis
      Pages 203-220
    3. Top-k Taxi Recommendation in Realtime Social-Aware Ridesharing Services

      • Xiaoyi Fu, Jinbin Huang, Hua Lu, Jianliang Xu, Yafei Li
      Pages 221-241
    4. P-LAG: Location-Aware Group Recommendation for Passive Users

      • Yuqiu Qian, Ziyu Lu, Nikos Mamoulis, David W. Cheung
      Pages 242-259
  6. Data Mining

    1. Front Matter

      Pages 261-261

Other Volumes

  1. Advances in Spatial and Temporal Databases

About this book

This book constitutes the refereed proceedings of the 15th International Symposium on Spatial and Temporal Databases, SSTD 2017, held in Arlington, VA, USA, in August 2017.The 19 full papers presented together with 8 demo papers and 5 vision papers were carefully reviewed and selected from 90 submissions. The papers are organized around the current research on concepts, tools, and techniques related to spatial and temporal databases. 

Editors and Affiliations

  • Institute of Computer Science, Heidelberg University, Heidelberg, Germany

    Michael Gertz

  • George Mason University, Fairfax, USA

    Matthias Renz

  • University of Queensland, Brisbane, Australia

    Xiaofang Zhou

  • ESRI, University of Minnesota, Minneapolis, USA

    Erik Hoel

  • Auburn University, Auburn, USA

    Wei-Shinn Ku

  • Free University of Berlin, Dahlem, Germany

    Agnes Voisard

  • Microsoft, Redmond, USA

    Chengyang Zhang

  • California State University, Sacramento, USA

    Haiquan Chen

  • LinkedIn, Sunnyvale, USA

    Liang Tang

  • University of North Texas, Denton, USA

    Yan Huang

  • Virginia Tech, Falls Church, USA

    Chang-Tien Lu

  • 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

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access