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Mobility Analytics for Spatio-Temporal and Social Data

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

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Christos Doulkeridis

    1. University of Piraeus, Piraeus, Greece

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  2. George A. Vouros

    1. University of Piraeus, Piraeus, Greece

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  3. Qiang Qu

    1. Shenzhen Institutes of Advanced Technology, Shenzhen, China

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  4. Shuhui Wang

    1. Institute of Computing Technology, Beijing, China

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

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: MATES 2017.

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About this book

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.

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Keywords

Table of contents (10 papers)

  1. Front Matter

    Pages I-IX
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  2. On Attributed Community Search

    • Yixiang Fang, Reynold Cheng
    Pages 1-21

  3. Data Analytics Enables Advanced AIS Applications

    • Ernest Batty
    Pages 22-35

  4. What do Geotagged Tweets Reveal About Mobility Behavior?

    • Pavlos Paraskevopoulos, Themis Palpanas
    Pages 36-53

  5. Edge Representation Learning for Community Detection in Large Scale Information Networks

    • Suxue Li, Haixia Zhang, Dalei Wu, Chuanting Zhang, Dongfeng Yuan
    Pages 54-72

  6. Introducing ADegree: Anonymisation of Social Networks Through Constraint Programming

    • Sergei Solonets, Victor Drobny, Victor Rivera, JooYoung Lee
    Pages 73-86

  7. JEREMIE: Joint Semantic Feature Learning via Multi-relational Matrix Completion

    • Jiaming Zhang, Shuhui Wang, Qiang Qu, Qingming Huang
    Pages 87-108

  8. A Big Data Driven Approach to Extracting Global Trade Patterns

    • Giannis Spiliopoulos, Dimitrios Zissis, Konstantinos Chatzikokolakis
    Pages 109-121

  9. Efficient Processing of Spatiotemporal Pattern Queries on Historical Frequent Co-Movement Pattern Datasets

    • Shahab Helmi, Farnoush Banaei-Kashani
    Pages 122-137

  10. Exploratory Spatio-Temporal Queries in Evolving Information

    • Chiara Francalanci, Barbara Pernici, Gabriele Scalia
    Pages 138-156

  11. Efficient Cross-Modal Retrieval Using Social Tag Information Towards Mobile Applications

    • Jianfeng He, Shuhui Wang, Qiang Qu, Weigang Zhang, Qingming Huang
    Pages 157-176

  12. Back Matter

    Pages 177-177
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Other volumes

  1. Mobility Analytics for Spatio-Temporal and Social Data

Editors and Affiliations

  • University of Piraeus, Piraeus, Greece

    Christos Doulkeridis, George A. Vouros

  • Shenzhen Institutes of Advanced Technology, Shenzhen, China

    Qiang Qu

  • Institute of Computing Technology, Beijing, China

    Shuhui Wang

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