Titlebook: Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing; Simon James Fong,Richard C. Millham

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Taming Speculation: The Tobin Tax,ances in machine learning if outliers are interpreted as noise. In the past decades, there are many outlier detection algorithms that have been developed and reported in the literature. Many have been implemented as software programs across a spectrum of various applications ranging from identifying

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,Als Mechaniker an der Universit?t Glasgow,ional methods, researchers have been investigating new methods ranging from artificial intelligent methods to optimization algorithms to further extend the quality of the solution. Among the methods, the meta-heuristic method is a popular choice for their unique searching power collectively and iter

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https://doi.org/10.1007/978-3-663-12183-1a (volume, velocity, and variety) produced within the Internet of Things. Fog computing is shown to be highly advantageous in areas such as smart city and healthcare monitoring. Given its architecture, the fog computing model has significant energy savings over its traditional cloud computing model.

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https://doi.org/10.1007/978-3-642-91514-7pinions of its users on issues. In this context, private individuals become the sources of information through online sharing of opinions and thoughts. These thoughts and opinions can be extracted to show patterns on sentiments of its users. Sentiment analysis, also referred as opinion mining, studi

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Conclusion Action: The Final Synthesis,d rely on their outputs for meaningful information. As the various aspects of big data developed, different tools developed to assist with the utilisation of these aspects. Various types of users had different requirements for the same aspect of data mining. Furthermore, these tools began as tools f

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James Stirling’s Methodus Differentialisam mining algorithms in fog environment. During the experiment, swarm search methods are applied to pre-process data stream in order to select accurate feature subsets and speed the local fog data analytics. The basis for apply swarm search methods is to find the best data streaming algorithm that g

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Taming Speculation: The Tobin Tax, or lightweight analysis with sliding window, other than global analysis only.” These three mechanisms are then combined with the existing outlier measurements such as “interquartile, local outlier factor and Mahalanobis distance range.” In this study, the computer simulation experiments show encour