Big Data Analytics in the Social and Ubiquitous Context

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Details

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.


Inhalt

Using Wikipedia for Cross-language Named Entity Recognition.- On the Predictive Power of Web Intelligence and Social Media.- A Latent Space Analysis of Editor Lifecycles in Wikipedia.- On Spatial Measures of Geographic Relevance for Geotagged Social Media Content.- Formation and Temporal Evolution of Social Groups During Coffee Breaks.- A Habit Detection Algorithm (HDA) for Discovering Recurrent Patterns in Smart Meter Time Series.- RoADS: A road pavement monitoring system for anomaly detection using smart phones.- Mining ticketing logs for usage characterization with nonnegative matrix factorization.- Context-Aware Location Prediction.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319290089
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 200
    • Lesemotiv Verstehen
    • Genre Software
    • Auflage 1st edition 2016
    • Editor Martin Atzmueller, Alvin Chin, Christoph Trattner, Immanuel Schweizer, Frederik Janssen
    • Sprache Englisch
    • Gewicht 312g
    • Untertitel 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, Rev
    • Größe H235mm x B155mm x T12mm
    • Jahr 2016
    • EAN 9783319290089
    • Format Kartonierter Einband
    • ISBN 3319290088
    • Veröffentlichung 03.02.2016
    • Titel Big Data Analytics in the Social and Ubiquitous Context

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