Mobility analytics for spatio-temporal and social data : First International Workshop, MATES 2017, Munich, Germany, September 1, 2017, Revised Selected Papers / edited by Christos Doulkeridis, George A. Vouros, Qiang Qu, Shuhui Wang.
Material type:
TextSeries: LNCS sublibrary: SL3 - Information systems and application, incl. Internet/Web, and HCI | Lecture notes in computer science ; 10731.Publisher: Cham, Switzerland : Springer, [2018]Description: 1 online resource (IX, 177 pages) : 60 illustrationsContent type: - text
- computer
- online resource
- 9783319735214
- 3319735217
- MATES 2017
- Social sciences -- Network analysis -- Congresses
- Big data -- Congresses
- Sciences sociales -- Analyse de réseau -- Congrès
- Données volumineuses -- Congrès
- Databases
- Ethical & social aspects of IT
- Geographical information systems (GIS) & remote sensing
- Data mining
- Network hardware
- Information retrieval
- Computers -- Database Management -- General
- Computers -- Social Aspects -- General
- Science -- Earth Sciences -- Geography
- Computers -- Database Management -- Data Mining
- Computers -- Hardware -- Network Hardware
- Computers -- Information Technology
- Social sciences -- Network analysis
- Big data
- Geographic information systems
- Computers and civilization
- Data mining
- Database management
- Computer networks
- Computer science
- 005.7 23
- QA76.76.A65
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e-Library | eBook LNCS | Available |
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.