Titlebook: Data Science and Big Data Computing; Frameworks and Metho Zaigham Mahmood Book 2016 Springer International Publishing Switzerland 2016 Big

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A Framework for Data Mining and Knowledge Discovery in Cloud Computingact that extracting knowledge from large-scale data is a challenging issue creates a great demand for cloud computing because of its potential benefits such as scalable storage and processing services. Considering this motivation, this chapter introduces a novel framework, data mining in cloud compu

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Feature Selection for Adaptive Decision Making in Big Data Analyticsf new concepts, viz. Big Data and Big Data Analytics. High dimensionality, variability, uncertainty and speed of generating such data pose new challenges in data analysis using standard statistical methods, especially when Big Data consists of redundant as well as important information. Devising int

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https://doi.org/10.1007/978-3-319-31861-5Big Data Modeling and Management; Data Mining and Predictive Analytics; Security, Privacy, Safety and

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Vladimir Zelevinsky,Sofia Karampagiahe system environment. This applies to any of the Internet of Things (IoT) applications where number of sensors and other smart devices are deployed. These sensors and smart devices embedded in IoT networks continually produce huge amounts of data. These data streams from heterogeneous sources arriv

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Recent Advances in R-matrix Data Analysisickly that storage and processing are becoming the two key concerns in such large systems of data. In addition to the size, complex relationship within the data is making the system highly sophisticated. Such complex relationships are often represented as network of data objects. Parallel processing

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