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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 Selected Papers /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Big Data Analytics in the Social and Ubiquitous Context/ edited by Martin Atzmueller, Alvin Chin, Frederik Janssen, Immanuel Schweizer, Christoph Trattner.
其他題名:	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 Papers /
其他作者:	Atzmueller, Martin.
面頁冊數:	IX, 187 p. 67 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-29009-6
ISBN:	9783319290096

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 Selected Papers /
Big Data Analytics in the Social and Ubiquitous Context5th 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 Papers /[electronic resource] :edited by Martin Atzmueller, Alvin Chin, Frederik Janssen, Immanuel Schweizer, Christoph Trattner. - 1st ed. 2016. - IX, 187 p. 67 illus. in color.online resource. - Lecture Notes in Artificial Intelligence ;9546. - Lecture Notes in Artificial Intelligence ;9285.

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.

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.

ISBN: 9783319290096

Standard No.: 10.1007/978-3-319-29009-6doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

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 Selected Papers /
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