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We study the two approaches, rHadoop and H2O, to intergate R, a popular statistical programming environment, into the Hadoop Big Data ecosystem. Using these approaches and the vanilla implementation of MapReduce to implement the solution to an analytic question for the on-time airline performance data set, we evaluate the differences in runtime performance and elaborate on the causes of these differences...
This paper uses nonparametric methods and some new results on hypothesis testing with nonparametric efficiency estimators and applies these to analyze the effect of locally available high performance computing (HPC) resources on universities’ efficiency in producing research and other outputs. We find that locally available HPC resources enhance the technical efficiency of research output in Chemistry,...
Academic data can be classified into multiple categories and come from a large number of sources. Many research areas require combining data from different sources into a unified set on which analytical techniques can be applied. In this research paper the authors introduce the High Performance Computing Cluster (HPCC) as a platform to streamline the process of ingesting, curating, integrating and...
The concept of Internet of Things (IoT) is rapidly moving from a vision to being pervasive in our everyday lives. This can be observed in the integration of connected sensors from a multitude of devices such as mobile phones, healthcare equipment, and vehicles. There is a need for the development of infrastructure support and analytical tools to handle IoT data, which are naturally big and complex...
This work seeks to bridge areas of academic institutional research, social network analysis, and content analysis through the application of a social media paradigm to the academic research publishing environment. The concept is built upon the analysis of similarities and differences that exist in the structural and functional building blocks of academic publishing and social media. The potential...
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