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Titlebook: Business Intelligence; First European Summe Marie-Aude Aufaure,Esteban Zimányi Textbook 2012 Springer-Verlag GmbH Germany, part of Springer

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Textbook 2012), which are presented here in an extended and refined format, cover not only established BI technologies like data warehouses, OLAP query processing, or performance issues, but extend into new aspects that are important in this new environment and for novel applications, e.g., semantic technologies
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https://doi.org/10.1007/978-981-33-4149-4ther are adaptations of classical clustering techniques. We have sorted them in following an increasing complexity order, because with very big graphs the complexity can be decisive for the choice of an algorithm.
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Graph Mining and Communities Detection,ther are adaptations of classical clustering techniques. We have sorted them in following an increasing complexity order, because with very big graphs the complexity can be decisive for the choice of an algorithm.
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Semantic Technologies and Triplestores for Business Intelligence,d performance factors for triplestores. Finally, the paper provides an overview of Business Intelligence related scenarios where Semantic Technologies and triplestores in particular provide valuable advantage and differentiation.
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Prospects for Media Convergence,, researchers differ in their vision of this BI evolution. In this paper, we provide an overview of the aspects proposed to be included in BI 2.0. We describe which success factors and technologies have motivated each aspect. Finally, we review how tool developers are including these new features in the next generation of BI solutions.
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