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Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems

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Cover of 'Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems'

Table of Contents

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    Book Overview
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    Chapter 1 A Visual Decision Support System for Helping Physicians to Make A decision on New Drugs
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    Chapter 2 Automatic Traffic Enforcement Camera Operation, Based on a Business Intelligence System
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    Chapter 3 Multicriteria Decision Making for Healthcare Facilities Location with Visualization Based on FITradeoff Method
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    Chapter 4 Business Process Modelling and Visualisation to Support e-Government Decision Making: Business/IS Alignment
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    Chapter 5 Visualization for Decision Support in FITradeoff Method: Exploring Its Evaluation with Cognitive Neuroscience
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    Chapter 6 Incorporating Uncertainty into Decision-Making: An Information Visualisation Approach
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    Chapter 7 Process Analytics Through Event Databases: Potentials for Visualizations and Process Mining
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    Chapter 8 Value of Visual Analytics to South African Businesses
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    Chapter 9 Conceiving Hybrid What-If Scenarios Based on Usage Preferences
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    Chapter 10 A Semantics Extraction Framework for Decision Support in Context-Specific Social Web Networks
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    Chapter 11 A Tool for Energy Management and Cost Assessment of Pumps in Waste Water Treatment Plants
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    Chapter 12 Implementation of an Extended Fuzzy VIKOR Method Based on Triangular and Trapezoidal Fuzzy Linguistic Variables and Alternative Deffuzification Techniques
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    Chapter 13 Integrating System Dynamics with Exploratory MCDA for Robust Decision-Making
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Title
Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems
Published by
Springer International Publishing, May 2017
DOI 10.1007/978-3-319-57487-5
ISBNs
978-3-31-957486-8, 978-3-31-957487-5
Editors

Linden, Isabelle, Liu, Shaofeng, Colot, Christian

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 30%
Student > Bachelor 5 14%
Student > Ph. D. Student 5 14%
Student > Postgraduate 4 11%
Researcher 3 8%
Other 4 11%
Unknown 5 14%
Readers by discipline Count As %
Engineering 10 27%
Computer Science 5 14%
Business, Management and Accounting 4 11%
Psychology 3 8%
Economics, Econometrics and Finance 2 5%
Other 6 16%
Unknown 7 19%