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 Selecte...
(Sprache: Englisch)
The 9 papers presented in this book arerevised and significantly extended versions of papers submitted to threerelated workshops:
The 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE2014, and the First International Workshop...
The 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE2014, and the First International Workshop...
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Klappentext zu „Big Data Analytics in the Social and Ubiquitous Context “
The 9 papers presented in this book arerevised and significantly extended versions of papers submitted to threerelated workshops:The 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE2014, and the First International Workshop on Machine Learning for Urban SensorData, SenseML 2014, which were held on September 15, 2014, in conjunction withthe European Conference on Machine Learning and Principles and Practice ofKnowledge Discovery in Databases (ECML-PKDD 2014) in Nancy, France; and the 5thInternational Workshop on Modeling Social Media (MSM 2014) that was held onApril 8, 2014 in conjunction with ACM WWW in Seoul, Korea.
Inhaltsverzeichnis zu „Big Data Analytics in the Social and Ubiquitous Context “
Using Wikipedia for Cross-language Named EntityRecognition.- On the Predictive Power of Web Intelligence and Social Media.- ALatent Space Analysis of Editor Lifecycles in Wikipedia.- On Spatial Measuresof Geographic Relevance for Geotagged Social Media Content.- Formation andTemporal Evolution of Social Groups During Coffee Breaks.- A Habit DetectionAlgorithm (HDA) for Discovering Recurrent Patterns in Smart Meter Time Series.-RoADS: A road pavement monitoring system for anomaly detection using smartphones.- Mining ticketing logs for usage characterization with nonnegative matrixfactorization.- Context-Aware Location Prediction.
Bibliographische Angaben
- 2016, 1st ed. 2016, IX, 187 Seiten, 187 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Martin Atzmueller, Alvin Chin, Frederik Janssen, Immanuel Schweizer, Christoph Trattner
- Verlag: Springer, Berlin
- ISBN-10: 3319290088
- ISBN-13: 9783319290089
- Erscheinungsdatum: 03.02.2016
Sprache:
Englisch
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