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Increasingly large datasets are being made publically available yet the methods and modelling skills to analyze them are lagging behind. In an effort to overcome barriers to analyzing and modelling data we propose the paradigm of Modelling as a Service (MaaS). As a proof-of-concept, we present a case study of the MaaS paradigm with computational tools for optogenetics based upon PyRhO. We demonstrate...
Significances and principles of smart grid data mining were analyzed. A scalable and cooperative big data mining platform architecture based on Apache Spark and Jupyter was proposed. The method of integrating Jupyter with Spark was detailed about. A new cooperation mode by collaborating with others through the Linux permission model on JupyterHub, the multiple-user server for Jupyter Notebook, was...
In order to familiarize and comprehend the learning of Huffman algorithm in a simpler way, we have implemented Huffman algorithm in Julia language which can be visualized in an interactive platform called IJulia supported by Jupyter and it creates a learning platform that increases the understanding of the coding technique for students. It involves a set of commands that are understandable and familiar...
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