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Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support

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Cover of 'Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support'

Table of Contents

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    Book Overview
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    Chapter 1 SIRPSS - Sustainable Industrial Site Redevelopment Planning Support System
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    Chapter 2 An Intelligent Multi-agent System Using Fuzzy Analytic Hierarchy Process and Axiomatic Design as a Decision Support Method for Refugee Settlement Siting
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    Chapter 3 Towards an Intelligent Integrated System for Urban Planning Using GIS and Cloud Computing
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    Chapter 4 An Ontology-Based Decision Support Framework for Personalized Quality of Life Recommendations
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    Chapter 5 Critical Events and Critical Infrastructures: A System Dynamics Approach
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    Chapter 6 How to Model Stakeholder Participation for Flood Management
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    Chapter 7 Big Data Analytics to Improve the Decision-Making Process in Public Safety: A Case Study in Northeast Brazil
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    Chapter 8 An Interactive Learning Environment Based on System Dynamics Methodology for Sustainable Mobility Challenges Communication & Citizens’ Engagement
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    Chapter 9 Skills and Mindsets for an Analytically Innovative Organisation
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    Chapter 10 Computer Supported Team Formation
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    Chapter 11 A Group Decision-Making Model for Supplier Selection: The Case of a Colombian Agricultural Research Company
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    Chapter 12 SK-DSSy: How to Integrate the YouTube Platform in a Cooperative Decision Support?
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    Chapter 13 A DSS Model for Selection of Computer on Module Based on PROMETHEE and DEX Methods
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    Chapter 14 Unveiling Hidden Patterns in Flexible Medical Treatment Processes – A Process Mining Case Study
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    Chapter 15 A New Function for Ensemble Pruning
Attention for Chapter 15: A New Function for Ensemble Pruning
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Citations

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Chapter title
A New Function for Ensemble Pruning
Chapter number 15
Book title
Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support
Published by
Springer, Cham, May 2018
DOI 10.1007/978-3-319-90315-6_15
Book ISBNs
978-3-31-990314-9, 978-3-31-990315-6
Authors

Souad Taleb Zouggar, Abdelkader Adla

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Professor > Associate Professor 1 25%
Student > Bachelor 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Unknown 2 50%

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