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Titlebook: Big-Data Analytics and Cloud Computing; Theory, Algorithms a Marcello Trovati,Richard Hill,Lu Liu Book 2015 Springer International Publishi

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Extraction of Bayesian Networks from Large Unstructured Datasetstion is very time-consuming when carried out manually. In this chapter, we discuss an automated method to identify, assess and aggregate relevant information from large unstructured datasets to build fragments of BNs.
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A Platform for Analytics on Social Networks Derived from Organisational Calendar Data management of interactions and the boosting of social capital in large organisations. As with the majority of social software, our platform requires a large scale of data to be consumed, processed and exploited for the generation of its automated social networks. The platforms purpose is to reduce
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Book 2015zation of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets..
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A Platform for Analytics on Social Networks Derived from Organisational Calendar Data networks generated from existing data. The following paper focuses on the process of acquiring and processing redundant calendar data available to all organisations and processing it into a social network that can be analysed.
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