Decision Support Systems V – Big Data Analytics for Decision Making First International Conference, ICDSST 2015, Belgrade, Serbia, May 27-29, 2015, Proceedings /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Delibašić, Boris (Editor), Hernández, Jorge E. (Editor), Papathanasiou, Jason (Editor), Dargam, Fátima (Editor), Zaraté, Pascale (Editor), Ribeiro, Rita (Editor), Liu, Shaofeng (Editor), Linden, Isabelle (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Series: Lecture Notes in Business Information Processing, 216
• Subjects: Business.; Production management.; Operations research.; Decision making.; Management information systems.; Data mining.; Application software.; Management science.; Business and Management.; Business Information Systems.; Data Mining and Knowledge Discovery.; Operation Research/Decision Theory.; Computer Appl. in Administrative Data Processing.; Operations Research, Management Science.; Operations Management.

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 Europe...

Table of Contents:

• ‘Big Data’ Decision Making Use Cases
• The Roles of Big Data in the Decision-Support Process: An Empirical Investigation
• Cloud Enabled Big Data Business Platform for Logistics Services: A Research and Development Agenda
• Making Sense of Governmental Activities Over Social Media: A Data-Driven Approach
• Data-Mining and Expert Models for Predicting Injury Risk in Ski Resorts
• The Effects of Performance Ratios in Predicting Corporate Bankruptcy: The Italian Case
• A Tangible Collaborative Decision Support System for Various Variants of the Vehicle Routing Problem
• Decision Support Model for Participatory Management of Water Resource
• Modeling Interactions Among Criteria in MCDM Methods: A Review.