Mobility Analytics for Spatio-Temporal and Social Data

First International Workshop, MATES 2017, Munich, Germany, September 1, 2017, Revised Selected Papers

  • Christos Doulkeridis
  • George A. Vouros
  • Qiang Qu
  • Shuhui Wang
Conference proceedings MATES 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10731)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10731)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Yixiang Fang, Reynold Cheng
    Pages 1-21
  3. Pavlos Paraskevopoulos, Themis Palpanas
    Pages 36-53
  4. Suxue Li, Haixia Zhang, Dalei Wu, Chuanting Zhang, Dongfeng Yuan
    Pages 54-72
  5. Sergei Solonets, Victor Drobny, Victor Rivera, JooYoung Lee
    Pages 73-86
  6. Jiaming Zhang, Shuhui Wang, Qiang Qu, Qingming Huang
    Pages 87-108
  7. Giannis Spiliopoulos, Dimitrios Zissis, Konstantinos Chatzikokolakis
    Pages 109-121
  8. Chiara Francalanci, Barbara Pernici, Gabriele Scalia
    Pages 138-156
  9. Jianfeng He, Shuhui Wang, Qiang Qu, Weigang Zhang, Qingming Huang
    Pages 157-176
  10. Back Matter
    Pages 177-177

About these proceedings


This book constitutes the refereed post-conference proceedings of the First International Workshop on Mobility Analytics for Spatio-Temporal and Social Data, MATES 2017, held in Munich, Germany, in September 2017.

The 6 revised full papers and 2 short papers included in this volume were carefully reviewed and selected from 13 submissions. Also included are two keynote speeches. The papers intend to raise awareness of real-world problems in critical domains which require novel data management solutions. They are organized in two thematic sections: social network analytics and applications, and spatio-temporal mobility analytics.


artificial intelligence cluster analysis clustering algorithms data mining databases image analysis image segmentation information retrieval machine learning mobility analytics social networks social network analysis spatio-temporal data

Editors and affiliations

  1. 1.University of PiraeusPiraeusGreece
  2. 2.University of PiraeusPiraeusGreece
  3. 3.Shenzhen Institutes of Advanced TechnologyShenzhenChina
  4. 4.Institute of Computing TechnologyBeijingChina

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-73520-7
  • Online ISBN 978-3-319-73521-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site