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Decision Support Systems X: Cognitive Decision Support Systems and Technologies

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Cover of 'Decision Support Systems X: Cognitive Decision Support Systems and Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 Two Sides of Collective Decision Making - Votes from Crowd and Knowledge from Experts
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    Chapter 2 Using Multi-level DEA to Go Beyond the Three Dimensions of Sustainability
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    Chapter 3 Analysis of Graphical Visualizations for Multi-criteria Decision Making in FITradeoff Method Using a Decision Neuroscience Experiment
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    Chapter 4 The Multi-Actor Multi-Criteria Analysis (MAMCA): New Software and New Visualizations
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    Chapter 5 Complexity Clustering of BPMN Models: Initial Experiments with the K-means Algorithm
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    Chapter 6 To Click or Not to Click? Deciding to Trust or Distrust Phishing Emails
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    Chapter 7 Management Information System for Police Facility Location
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    Chapter 8 An Automated Corpus Annotation Experiment in Brazilian Portuguese for Sentiment Analysis in Public Security
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    Chapter 9 An E-government Procurement Decision Support System Model for Public Private Partnership Projects in Egypt
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    Chapter 10 Determinants of Recommendation in the Airline Industry: An Application of Online Review Analysis
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    Chapter 11 Artificial Intelligence Based Decision Making for Venture Capital Platform
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    Chapter 12 Supporting Operational Decisions on Desalination Plants from Process Modelling and Simulation to Monitoring and Automated Control with Machine Learning
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    Chapter 13 DSS, BI, and Data Analytics Research: Current State and Emerging Trends (2015–2019)
Attention for Chapter 13: DSS, BI, and Data Analytics Research: Current State and Emerging Trends (2015–2019)
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Chapter title
DSS, BI, and Data Analytics Research: Current State and Emerging Trends (2015–2019)
Chapter number 13
Book title
Decision Support Systems X: Cognitive Decision Support Systems and Technologies
Published by
Springer, Cham, May 2020
DOI 10.1007/978-3-030-46224-6_13
Book ISBNs
978-3-03-046223-9, 978-3-03-046224-6
Authors

Sean Eom

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 18%
Student > Ph. D. Student 2 12%
Student > Bachelor 1 6%
Professor 1 6%
Student > Master 1 6%
Other 0 0%
Unknown 9 53%
Readers by discipline Count As %
Computer Science 3 18%
Social Sciences 2 12%
Business, Management and Accounting 1 6%
Unspecified 1 6%
Engineering 1 6%
Other 0 0%
Unknown 9 53%