Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9546)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
- MSM: International Workshop on Modeling Social Media
- MUSE: International Workshop on Mining Ubiquitous and Social Environments
- SenseML: International Workshop on Machine Learning for Urban Sensor Data
Conference proceedings info: MSM 2014, MUSE 2014, SENSEML 2015.
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Table of contents (9 papers)
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Front Matter
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Back Matter
Other volumes
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Big Data Analytics in the Social and Ubiquitous Context
Keywords
- big data
- data mining
- machine learning
- social network analysis
- Web mining
- activity recognition
- data analysis
- data science
- event extraction
- forecasting
- open-source intelligence
- partial periodic patterns
- sentiment analysis
- smart metering
- social media
- temporal analytics
- temporal patterns
- twitter analysis
- ubiquitous data
- Web intelligence
About this book
The 9 papers presented in this book are
revised and significantly extended versions of papers submitted to three
related workshops:
The 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE
2014, and the First International Workshop on Machine Learning for Urban Sensor
Data, SenseML 2014, which were held on September 15, 2014, in conjunction with
the European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Databases (ECML-PKDD 2014) in Nancy, France; and the 5th
International Workshop on Modeling Social Media (MSM 2014) that was held on
April 8, 2014 in conjunction with ACM WWW in Seoul, Korea.
Editors and Affiliations
Bibliographic Information
Book Title: Big Data Analytics in the Social and Ubiquitous Context
Book Subtitle: 5th International Workshop on Modeling Social Media, MSM 2014, 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2014, and First International Workshop on Machine Learning for Urban Sensor Data, SenseML 2014, Revised Selected Papers
Editors: Martin Atzmueller, Alvin Chin, Frederik Janssen, Immanuel Schweizer, Christoph Trattner
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-29009-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-29008-9Published: 03 February 2016
eBook ISBN: 978-3-319-29009-6Published: 06 January 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 187
Number of Illustrations: 67 illustrations in colour
Topics: Artificial Intelligence, Information Storage and Retrieval, Data Mining and Knowledge Discovery, Database Management, Information Systems Applications (incl. Internet)