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Business Intelligence and Big Data

7th European Summer School, eBISS 2017, Bruxelles, Belgium, July 2–7, 2017, Tutorial Lectures

  • Esteban Zimányi
Conference proceedings eBISS 2017

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 324)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Ziawasch Abedjan
    Pages 1-20
  3. Christian Thomsen, Ove Andersen, Søren Kejser Jensen, Torben Bach Pedersen
    Pages 21-50
  4. Michael H. Böhlen, Anton Dignös, Johann Gamper, Christian S. Jensen
    Pages 51-83
  5. Evaggelia Pitoura
    Pages 84-111
  6. Jordi Vitrià
    Pages 134-153
  7. Back Matter
    Pages 155-155

About these proceedings

Introduction

This book constitutes revised tutorial lectures of the 7th European Business Intelligence and Big Data Summer School, eBISS 2017, held in Bruxelles, Belgium, in July 2017. 
The tutorials were given by renowned experts and covered advanced aspects of business intelligence and big data. This summer school, presented by leading researchers in the field, represented an opportunity for postgraduate students to equip themselves with the theoretical, practical, and collaboration skills necessary for developing challenging business intelligence applications.  

Keywords

business intelligence big data data warehouses data mining data analytics deep learning graph data bases temporal data management stream data management

Editors and affiliations

  1. 1.Université Libre de BruxellesBrusselsBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-96655-7
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-96654-0
  • Online ISBN 978-3-319-96655-7
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356
  • Buy this book on publisher's site
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