Description
Big Data Analytics in the Social and Ubiquitous Context, 1st ed. 2016
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
Lecture Notes in Artificial Intelligence Series
Coordinators: Atzmueller Martin, Chin Alvin, Janssen Frederik, Schweizer Immanuel, Trattner Christoph
Language: English
Subjects for 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
Support: Print on demand
Description
/li>Contents
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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.
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.
