Editors:
- Concise and comprehensive introduction to business intelligence (BI)
- Combines traditional BI technologies with new topics such as business semantics, Big Data analysis, and multicriteria decision making
- Includes recent developments in underlying basic technologies such as machine learning, logic networks, and graph mining
- Contributions conjointly written by leading academic researchers and industrial developers, striving for both high relevance and real-world applicability
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 138)
Conference series link(s): eBISS: European Big Data Management and Analytics Summer School
Conference proceedings info: eBISS 2012.
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
To large organizations, business intelligence (BI) promises the capability of collecting and analyzing internal and external data to generate knowledge and value, thus providing decision support at the strategic, tactical, and operational levels. BI is now impacted by the “Big Data” phenomena and the evolution of society and users. 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. In addition, they must be able to provide their results also on mobile devices, taking into account location-based or time-based environmental data.
The lectures held at the Second European Business Intelligence Summer School (eBISS), which are presented here in an extended and refined format, cover not only established BI and BPM technologies, but extend into innovative aspects that are important in this new environment and for novel applications, e.g., machine learning, logic networks, graph mining, business semantics, large-scale data management and analysis, and multicriteria and collaborative decision making.
Combining papers by leading researchers in the field, this volume equips the reader with the state-of-the-art background necessary for creating the future of BI. It also provides the reader with an excellent basis and many pointers for further research in this growing field.
Editors and Affiliations
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MAS Laboratory, Ecole Centrale Paris, Châtenay-Malabry, France
Marie-Aude Aufaure
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Department of Computer and Decision Engineering (CoDE), Université Libre de Bruxelles, Brussels, Belgium
Esteban Zimányi
Bibliographic Information
Book Title: Business Intelligence
Book Subtitle: Second European Summer School, eBISS 2012, Brussels, Belgium, July 15-21, 2012, Tutorial Lectures
Editors: Marie-Aude Aufaure, Esteban Zimányi
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-642-36318-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2013
Softcover ISBN: 978-3-642-36317-7Published: 11 January 2013
eBook ISBN: 978-3-642-36318-4Published: 17 January 2013
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: X, 235
Number of Illustrations: 83 b/w illustrations
Topics: IT in Business, Computer Appl. in Administrative Data Processing, Database Management, Information Storage and Retrieval, Discrete Mathematics in Computer Science, Probability and Statistics in Computer Science