Decision Support Systems V – Big Data Analytics for Decision Making

First International Conference, ICDSST 2015, Belgrade, Serbia, May 27-29, 2015, Proceedings

  • Boris Delibašić
  • Jorge E. Hernández
  • Jason Papathanasiou
  • Fátima Dargam
  • Pascale Zaraté
  • Rita Ribeiro
  • Shaofeng Liu
  • Isabelle Linden
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 216)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Daniel J. Power
    Pages 1-9
  3. Thiago Poleto, Victor Diogho Heuer de Carvalho, Ana Paula Cabral Seixas Costa
    Pages 10-21
  4. Irina Neaga, Shaofeng Liu, Lai Xu, Huilan Chen, Yuqiuge Hao
    Pages 22-33
  5. Brunella Caroleo, Andrea Tosatto, Michele Osella
    Pages 34-45
  6. Nikolaos Ploskas, Ioannis Athanasiadis, Jason Papathanasiou, Nikolaos Samaras
    Pages 73-84
  7. Annielli Cunha, Danielle Morais
    Pages 85-97
  8. Ksenija Mandic, Vjekoslav Bobar, Boris Delibašić
    Pages 98-109
  9. Back Matter
    Pages 111-111

About these proceedings

Introduction

This book constitutes the refereed proceedings of the First International Conference on Decision Support Systems Technology, ICDSST 2015, held in Belgrade, Serbia, in May 2015. The theme of the event was “Big Data Analytics for Decision-Making” and it was organized by the EURO (Association of European Operational Research Societies) working group of Decision Support Systems (EWG-DSS).

The eight papers presented in this book were selected out of 26 submissions after being carefully reviewed by at least three internationally known experts from the ICDSST 2015 Program Committee and external invited reviewers. The selected papers are representative of current and relevant research activities in the area of decision support systems, such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluations and analysis through social networks, and decision support system applications in real-world environments. The volume is completed by an additional invited paper on big data decision-making use cases.

Keywords

DSS ERP big data business intelligence data analytics decision support systems engineering applications enterprise applications knowledge management

Editors and affiliations

  • Boris Delibašić
    • 1
  • Jorge E. Hernández
    • 2
  • Jason Papathanasiou
    • 3
  • Fátima Dargam
    • 4
  • Pascale Zaraté
    • 5
  • Rita Ribeiro
    • 6
  • Shaofeng Liu
    • 7
  • Isabelle Linden
    • 8
  1. 1.University of BelgradeBelgradeSerbia
  2. 2.University of LiverpoolLiverpoolUnited Kingdom
  3. 3.University of MacedoniaThessalonikiGreece
  4. 4.SimTech Simulation TechnologyGrazAustria
  5. 5.Toulouse 1 Capitole UniversityToulouseFrance
  6. 6.UNINOVA – CA3LisbonPortugal
  7. 7.University of PlymouthPlymouthUnited Kingdom
  8. 8.University of NamurNamurBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-18533-0
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-18532-3
  • Online ISBN 978-3-319-18533-0
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356
  • About this book