Lecture Notes in Business Information Processing

Business Intelligence

Second European Summer School, eBISS 2012, Brussels, Belgium, July 15-21, 2012, Tutorial Lectures

Editors: Aufaure, Marie-Aude, Zimányi, Esteban (Eds.)

  • 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
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eBook $54.99
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  • ISBN 978-3-642-36318-4
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  • Immediate eBook download after purchase
Softcover $72.00
price for USA
  • ISBN 978-3-642-36317-7
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About this Textbook

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.

Table of contents (9 chapters)

  • Managing Complex Multidimensional Data

    Pedersen, Torben Bach

    Pages 1-28

  • An Introduction to Business Process Modeling

    Vaisman, Alejandro

    Pages 29-61

  • Machine Learning Strategies for Time Series Forecasting

    Bontempi, Gianluca (et al.)

    Pages 62-77

  • Knowledge Discovery from Constrained Relational Data: A Tutorial on Markov Logic Networks

    Spies, Marcus

    Pages 78-102

  • Large Graph Mining: Recent Developments, Challenges and Potential Solutions

    Skhiri, Sabri (et al.)

    Pages 103-124

Buy this book

eBook $54.99
price for USA (gross)
  • ISBN 978-3-642-36318-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $72.00
price for USA
  • ISBN 978-3-642-36317-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

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
Series Volume
138
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-36318-4
DOI
10.1007/978-3-642-36318-4
Softcover ISBN
978-3-642-36317-7
Series ISSN
1865-1348
Edition Number
1
Number of Pages
X, 235
Number of Illustrations and Tables
83 b/w illustrations
Topics