Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10612)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Conference series link(s): APWeb-WAIM: Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data
Conference proceedings info: APWeb-WAIM 2017.
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Table of contents (25 papers)
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Front Matter
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MWDA 2017
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Front Matter
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About this book
This book constitutes the thoroughly refereed post-conference proceedings of the First APWeb-WAIM 2017 Workshops, held jointly with the First International Joint Conference APWeb-WAIM 2017, held in Beijing, China, in July 2017. The 25 full papers presented were carefully reviewed and selected from 40 submissions. The papers originating from six workshops present cutting-edge ideas,  results, experiences, techniques, and tools from all aspects of web data  management with the focus on mobile web data analytics; big spatial data and urban computing; graph data management and analytics; mobility analytics from spatial and social data.
Keywords
- spatiotemporal data
- semi-structured data
- mobile data
- web data
- big data
- data management
- data mining
- data analytics
- spatial data processing and data quality
- graph data processing
- data mining
- privacy and semantic analysis
- text and log data management
- social networks
- data mining and data steams
- query processing
- topic modeling
- machine learning
- recommendation systems
Editors and Affiliations
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Tsinghua University, Beijing, China
Shaoxu Song
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George Mason University, Fairfax, USA
Matthias Renz
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Kangwon National University, Chuncheon, Korea (Republic of)
Yang-Sae Moon
Bibliographic Information
Book Title: Web and Big Data
Book Subtitle: APWeb-WAIM 2017 International Workshops: MWDA, HotSpatial, GDMA, DDC, SDMA, MASS, Beijing, China, July 7-9, 2017, Revised Selected Papers
Editors: Shaoxu Song, Matthias Renz, Yang-Sae Moon
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-69781-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-69780-2Published: 09 November 2017
eBook ISBN: 978-3-319-69781-9Published: 07 November 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 268
Number of Illustrations: 83 b/w illustrations
Topics: Information Storage and Retrieval, Information Systems Applications (incl. Internet), Data Mining and Knowledge Discovery, Database Management, Artificial Intelligence, Computer Communication Networks