Decision support systems V -- big data analytics for decision making : first International Conference, ICDSST 2015, Belgrade, Serbia, May 27-29, 2015, proceedings /

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Bibliographic Details
Meeting name:ICDSST (Conference) (1st : 2015 : Belgrade, Serbia)
Imprint:Cham : Springer, 2015.
Description:1 online resource (xv, 111 pages) : illustrations.
Language:English
Series:Lecture notes in business information processing, 1865-1348 ; 216
Lecture notes in business information processing ; 216.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11094200
Hidden Bibliographic Details
Varying Form of Title:ICDSST 2015
Other authors / contributors:Delibašić, Boris, editor.
ISBN:9783319185330
3319185330
3319185322
9783319185323
9783319185323
Digital file characteristics:text file PDF
Notes:International conference proceedings.
Includes author index.
English.
Online resource; title from PDF title page (SpringerLink, viewed June 1, 2015).
Summary: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.
Other form:Printed edition: 9783319185323
Standard no.:10.1007/978-3-319-18533-0