Enabling Real-Time Business Intelligence

International Workshops, BIRTE 2013, Riva del Garda, Italy, August 26, 2013, and BIRTE 2014, Hangzhou, China, September 1, 2014, Revised Selected Papers

  • Malu Castellanos
  • Umeshwar Dayal
  • Torben Bach Pedersen
  • Nesime Tatbul
Conference proceedings

DOI: 10.1007/978-3-662-46839-5

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 206)

Table of contents

  1. Front Matter
    Pages I-XX
  2. Johann-Christoph Freytag, Rico Bergmann, Lukas Dölle
    Pages 1-8
  3. Badrish Chandramouli
    Pages 23-37
  4. Yannis Sotiropoulos, Damianos Chatziantoniou
    Pages 65-80
  5. Adriana Matei, Kuo-Ming Chao, Nick Godwin
    Pages 81-96
  6. Oliver Kennedy, Ying Yang, Jan Chomicki, Ronny Fehling, Zhen Hua Liu, Dieter Gawlick
    Pages 97-113
  7. Dilshod Ibragimov, Katja Hose, Torben Bach Pedersen, Esteban Zimányi
    Pages 114-132
  8. Ahmed Khan Leghari, Martin Wolf, Yongluan Zhou
    Pages 133-149
  9. Michael Rudolf, Hannes Voigt, Christof Bornhövd, Wolfgang Lehner
    Pages 159-166
  10. Karsten Schmidt, Sebastian Bächle, Philipp Scholl, Georg Nold
    Pages 167-170
  11. Timo Michelsen, Marco Grawunder, Dennis Geesen, H.-Jürgen Appelrath
    Pages 171-174
  12. Back Matter
    Pages 175-175

About these proceedings

Introduction

This book constitutes the thoroughly refereed conference proceedings of the 7th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2013, held in Riva del Garda, Italy, in August 2013 and of the 8th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2014, held in Hangzhou, China, in September 2014, in conjunction with VLDB 2013 and 2014, the International Conference on Very Large Data Bases.

The BIRTE workshop series provides a forum for the discussion and advancement of the science and engineering enabling real-time business intelligence and the novel applications that build on these foundational techniques. This volume contains five full, two short, and two demo papers, which were carefully reviewed and selected with an acceptance rate of 45%. In addition, one keynote and three invited papers are included.

Keywords

OLAP big data business intelligence data analytics data warehouses online analytical processing stream data processing

Editors and affiliations

  • Malu Castellanos
    • 1
  • Umeshwar Dayal
    • 2
  • Torben Bach Pedersen
    • 3
  • Nesime Tatbul
    • 4
  1. 1.Hewlett-PackardPalo AltoUSA
  2. 2.Hitachi LaboratoriesSanta ClaraUSA
  3. 3.Aalborg UniversityAalborgDenmark
  4. 4.Intel Labs and MITCambridgeUSA

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2015
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-662-46838-8
  • Online ISBN 978-3-662-46839-5
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356