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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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

headlong

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

Endoscope

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

正論

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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,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

fleeting

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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Defiance

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