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

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Vladimir Zelevinsky,Sofia Karampagiater proposes CEP-based solution to continuously collect and analyze the data generated from multiple sources in real time. Two case studies on intrusion detection in a heterogeneous sensor network and automated healthcare monitoring of geriatric patient are also considered for experimenting and vali

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Recent Advances in R-matrix Data Analysisgroup similar objects based on the connectivity among them. Application areas include social network analysis, World Wide Web, image processing, biological networks, supply chain networks, and many others. In this chapter, we discuss the relevant agglomerative approaches. Relative advantages with re

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Compounds of Arsenic, Antimony, and Bismuthle users, web, and public open data sources (e.g., regulatory institutions). A CyberWater case study is also presented for the purposes of modeling, integration, and operation of these data in order to provide a unified approach and a unique view. The case study aims to offer support for different p

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https://doi.org/10.1007/978-3-662-01611-4nts, distributed platforms for machine learning, and cloud services for machine learning, known as machine-learning-as-a-service approach. We also provide a number of recommendations for data scientists when considering machine learning approach for their problem.

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Compounds of Arsenic, Antimony, and Bismuthues that are used to detect both types of duplicate bug records. Some of these duplicate bug records reappear, that is, they show up continuously over a long period of time. Here, we present a framework that can be used to automate the entire process of detection of both types of duplicates and recu

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Elena Alexandrova,Anna Kochievae. Genetic algorithm, a well-proven global optimization algorithm, has been extended to search the fitness space more efficiently in order to select global optimum feature subset. Real-life data is often vague, so fuzzy logic and rough-set theory are applied to handle uncertainty and maintain consis

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Elena Alexandrova,Anna Kochievaiminately and transparently. This chapter analyzes the impact of Big Data from social media platforms in the social, political, and economic spheres. Further, the discriminate use of Big Data analysis from social media platforms is explored, within the context of ethical conduct by potential users a

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