Big Data Analytics in the Social and Ubiquitous Context
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: Atzmueller, M., Chin, A., Janssen, F., Schweizer, I., Trattner, C. (Eds.)
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- About this book
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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.
- Table of contents (9 chapters)
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Using Wikipedia for Cross-Language Named Entity Recognition
Pages 1-25
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On the Predictive Power of Web Intelligence and Social Media
Pages 26-45
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A Latent Space Analysis of Editor Lifecycles in Wikipedia
Pages 46-69
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On Spatial Measures of Geographic Relevance for Geotagged Social Media Content
Pages 70-89
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Formation and Temporal Evolution of Social Groups During Coffee Breaks
Pages 90-108
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Table of contents (9 chapters)
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Bibliographic Information
- 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
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- Martin Atzmueller
- Alvin Chin
- Frederik Janssen
- Immanuel Schweizer
- Christoph Trattner
- Series Title
- Lecture Notes in Artificial Intelligence
- Series Volume
- 9546
- Copyright
- 2016
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-29009-6
- DOI
- 10.1007/978-3-319-29009-6
- Softcover ISBN
- 978-3-319-29008-9
- Edition Number
- 1
- Number of Pages
- IX, 187
- Number of Illustrations
- 67 illustrations in colour
- Topics
