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Business Intelligence First European Summer School Ebiss 2011 Paris France July 38 2011 Tutorial Lectures 1st Edition Alejandro Vaisman

  • SKU: BELL-4202784
Business Intelligence First European Summer School Ebiss 2011 Paris France July 38 2011 Tutorial Lectures 1st Edition Alejandro Vaisman
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Business Intelligence First European Summer School Ebiss 2011 Paris France July 38 2011 Tutorial Lectures 1st Edition Alejandro Vaisman instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 4.29 MB
Pages: 207
Author: Alejandro Vaisman, Esteban Zimányi (auth.), Marie-Aude Aufaure, Esteban Zimányi (eds.)
ISBN: 9783642273575, 9783642273582, 3642273572, 3642273580
Language: English
Year: 2012
Edition: 1

Product desciption

Business Intelligence First European Summer School Ebiss 2011 Paris France July 38 2011 Tutorial Lectures 1st Edition Alejandro Vaisman by Alejandro Vaisman, Esteban Zimányi (auth.), Marie-aude Aufaure, Esteban Zimányi (eds.) 9783642273575, 9783642273582, 3642273572, 3642273580 instant download after payment.

Business Intelligence (BI) promises an organization the capability of collecting and analyzing internal and external data to generate knowledge and value, providing decision support at the strategic, tactical, and operational levels. Business Intelligence is now impacted by the Big Data phenomena and the evolution of society and users, and needs to take into account high-level semantics, reasoning about unstructured and structured data, and to provide a simplified access and better understanding of diverse BI tools accessible trough mobile devices. In particular, BI applications must cope with additional heterogeneous (often Web-based) sources, e.g., from social networks, blogs, competitors’, suppliers’, or distributors’ data, governmental or NGO-based analysis and papers, or from research publications.

The lectures held at the First European Business Intelligence Summer School (eBISS), 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, social network analysis and graphs, services, large-scale management, or collaborative decision making.

Combining papers by leading researchers in the field, this volume will equip the reader with the state-of-the-art background necessary for inventing the future of BI. It will also provide the reader with an excellent basis and many pointers for further research in this growing field.

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