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Titlebook: Big Data Analytics in the Social and Ubiquitous Context; 5th International Wo Martin Atzmueller,Alvin Chin,Christoph Trattner Conference pr

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發(fā)表于 2025-3-21 18:44:55 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Big Data Analytics in the Social and Ubiquitous Context
期刊簡(jiǎn)稱5th International Wo
影響因子2023Martin Atzmueller,Alvin Chin,Christoph Trattner
視頻videohttp://file.papertrans.cn/186/185625/185625.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Big Data Analytics in the Social and Ubiquitous Context; 5th International Wo Martin Atzmueller,Alvin Chin,Christoph Trattner Conference pr
影響因子.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..
Pindex Conference proceedings 2016
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發(fā)表于 2025-3-22 00:01:39 | 只看該作者
https://doi.org/10.1007/978-94-009-8179-9ring, and topic detection. State-of-the-art NERC systems are based on supervised machine learning and hence need to be trained on (manually) annotated corpora. However, annotated corpora hardly exist for non-standard languages and labeling additional data manually is tedious and costly. In this arti
板凳
發(fā)表于 2025-3-22 01:50:54 | 只看該作者
https://doi.org/10.1007/978-94-009-8179-9ing it to extract insights. But the relevance of such data to see beyond the present is not clear. We present efforts to predict future events based on web intelligence – data harvested from the web?– with specific emphasis on social media data and on timed event mentions, thereby quantifying the pr
地板
發(fā)表于 2025-3-22 08:21:52 | 只看該作者
Introduction to Algebraic Geometryhreatened by high levels of member withdrawal. In this paper we borrow ideas from topic analysis to study editor activity on Wikipedia over time using latent space analysis, which offers an insight into the evolving patterns of editor behaviour. This latent space representation reveals a number of d
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發(fā)表于 2025-3-22 11:24:03 | 只看該作者
Introduction to Algebraic Geometryasures such as Focus, Entropy and Spread have been applied to describe geospatial characteristics of social media contents. In this paper, we draw the attention to the fact that these popular measures do not necessarily show the geographic relevance or dependence of social content, but mix up geogra
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發(fā)表于 2025-3-22 15:25:42 | 只看該作者
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發(fā)表于 2025-3-22 20:10:10 | 只看該作者
,Géométrie diophantienne multiprojective, introduces a method for discovering . in smart water meter time series. Habits are household activities that recur in a predictable way, such as watering the garden at 6?am twice a week. Discovering habit patterns automatically is a challenging data mining task. Habit patterns are not only periodic
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發(fā)表于 2025-3-23 00:53:59 | 只看該作者
Yuri V. Nesterenko,Patrice Philipponper investigate road surface monitoring with smartphones equipped with GPS and inertial sensors: accelerometer and gyroscope. In this study we describe the conducted experiments with data from the time domain, frequency domain and wavelet transformation, and a method to reduce the effects of speed,
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發(fā)表于 2025-3-23 05:07:17 | 只看該作者
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發(fā)表于 2025-3-23 06:28:54 | 只看該作者
Criteria for algebraic independence,ons of location prediction include location-based services, resource allocation, handoff management in cellular networks, animal migration research, and weather forecasting. Most current techniques try to predict the next location of moving objects such as vehicles, people or animals, based on their
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