Big Data Analytics in the Social and Ubiquitous Context
Springer International Publishing (Verlag)
978-3-319-29008-9 (ISBN)
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.
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.
| Erscheinungsdatum | 08.10.2016 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | IX, 187 p. 67 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | activity recognition • Applications • artificial intelligence (incl. robotics) • Big Data • Computer Science • conference proceedings • Data Analysis • Data Mining • Data Science • event extraction • Forecasting • Informatics • machine learning • open-source intelligence • partial periodic patterns • Research • sentiment analysis • Smart Metering • Social Media • social network analysis • temporal analytics • temporal patterns • twitter analysis • Ubiquitous data • Web Intelligence • Web mining |
| ISBN-10 | 3-319-29008-8 / 3319290088 |
| ISBN-13 | 978-3-319-29008-9 / 9783319290089 |
| Zustand | Neuware |
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