Titlebook: Big Data and Visual Analytics; Sang C. Suh,Thomas Anthony Conference proceedings 2017 Springer International Publishing AG 2017 Big data.B

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Genome and Transcriptome Sequencingloping solutions from large datasets, and is an important tool in the big data analytics toolbox. Deep Learning has been recently employed to solve various problems in computer vision and demonstrated state-of-the-art performance on visual recognition tasks. In medical imaging, especially in brain t

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Introduction to Evolutionary Genomicsthe last two decades with the proliferation of Web to the social media sites such as Twitter, Facebook, and Tumblr, social media are increasingly becoming the platform of choice for people to express their views or opinions. With an account of over two billion users, social media provides a major so

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Transdisciplinary Benefits of Convergence in Big Data Analytics,other key factors imposed by data velocity that limits immediate inferencing, data variability that limits data consistency, and data veracity that limits data quality. As these challenges are resolved in other disciplinary domains, the spillover benefits can be profound when transdisciplinary advan

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A Big Data Analytics Approach in Medical Imaging Segmentation Using Deep Convolutional Neural Netwohens the feature propagation from layer to layer. We show how this arrangement increases the efficiency during training and the accuracy of the results. We have trained and evaluated our method based on the imaging data provided by the Multimodal Brain Tumor Image Segmentation Challenge (BRATS) 2017