Big Data Analytics in the Social and Ubiquitous Context
Description
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.
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Content
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.