Decision Support Systems V ? Big Data Analytics for Decision Making : First International Conference, ICDSST2015 Belgrade, Servia, May 27-29, 2015 Proceedings

Deliba?ic, Boris (EDT); Hernández, Jorge E. (EDT); Papathanasiou, Jason (EDT); Dargam, Fátima (EDT); Zarate, Pascale (EDT); Ribeiro, Rita (EDT); Liu, Shaofeng (EDT); Linden, Isabelle (EDT)

ISBN 10: 3319185322 / ISBN 13: 9783319185323

Edité par Springer, 2015

A propos de cet article

Unread book in perfect condition.

N° de réf. du vendeur 23747294

Détails bibliographiques

• Titre: Decision Support Systems V ? Big Data Analytics for Decision Making : First International Conference, ICDSST2015 Belgrade, Servia, May 27-29, 2015 Proceedings
• Éditeur: Springer
• Date de parution: 2015
• Langue: anglais
• ISBN à 10 chiffres: 3319185322
• ISBN à 13 chiffres: 9783319185323
• Reliure: Couverture souple
• État de l'article: As New

A propos de ce titre

Synopsis

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.