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This paper proposes a method to accelerate calculation for generalized linear models in big data. We separate the covariates of full model into several groups to build candidate models. In the process...
Linear mixed model is a popular and common modeling method in statistical analysis. It is computationally difficult to obtain parameter estimates in linear mixed model for big data. The current subsam...
Even at an early stage, diverse big data have been applied to tourism research and made an amazing improvement. This paper might be the first attempt to present a comprehensive literature review on di...
The glaciers are a natural global resource and one of the principal climate change indicator at global and local scale, being influenced by temperature and snow precipitation changes. Among the parame...
Remote sensing automatic interpretation symbol (RSAIS) is an inexpensive and fast method in providing precise in-situ information for image interpretation and accuracy. This study designed a scientifi...
Social media is rapidly emerging as a potential resource of information capable to support natural disasters management. Despite the growing research interest focused on using social media during natu...
Social media is rapidly emerging as a potential resource of information capable to support natural disasters management. Despite the growing research interest focused on using social media during natu...
Recent advances in technology such as Internet of Things, Analytics and Big Data lead not only a technology revolution but also offer a magnitude of business benefits. With the arrival of Industry 4.0...
By 2019, big data and business analytics sales are expected to pull in $187 billion worldwide. Already making waves in this sector is Ayasdi, a company founded by a renowned mathematician and NSF awar...
The program opens with four days of tutorials that will provide an introduction to major themes of the entire program and the four workshops. The goal is to build a foundation for the participants of...
Increasingly large data sets are being ingested and produced by simulations. What experience from large-scale simulation is transferable to big data applications? Conversely, what new optimal algorith...
While big data has been a topic of research and industry activity, much of it has been focused on unstructured data such as web logs, web crawl data, and social media data. One area which has received...
Organizers of SABID 2017 workshop solicit high-quality original research papers in the closely related areas of solar and stellar astronomy big data. Innovative data mining techniques in these fields ...
Big Data is the ocean of information we swim in every day-vast zetabytes of data flowing from our computers, mobile devices, and machine sensors. With the right solutions, organizations can dive into ...

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