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Information Quality in Information Fusion and Decision Making

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Cover of 'Information Quality in Information Fusion and Decision Making'

Table of Contents

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    Book Overview
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    Chapter 1 Information Quality in Fusion-Driven Human-Machine Environments
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    Chapter 2 Quality of Information Sources in Information Fusion
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    Chapter 3 Using Quality Measures in the Intelligent Fusion of Probabilistic Information
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    Chapter 4 Conflict Management in Information Fusion with Belief Functions
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    Chapter 5 Basic Properties for Total Uncertainty Measures in the Theory of Evidence
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    Chapter 6 Uncertainty Characterization and Fusion of Information from Unreliable Sources
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    Chapter 7 Assessing the Usefulness of Information in the Context of Coalition Operations
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    Chapter 8 Fact, Conjecture, Hearsay and Lies: Issues of Uncertainty in Natural Language Communications
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    Chapter 9 Fake or Fact? Theoretical and Practical Aspects of Fake News
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    Chapter 10 Information Quality and Social Networks
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    Chapter 11 Quality, Context, and Information Fusion
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    Chapter 12 Analyzing Uncertain Tabular Data
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    Chapter 13 Evaluation of Information in the Context of Decision-Making
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    Chapter 14 Evaluating and Improving Data Fusion Accuracy
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    Chapter 15 Decision-Aid Methods Based on Belief Function Theory with Application to Torrent Protection
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    Chapter 16 An Epistemological Model for a Data Analysis Process in Support of Verification and Validation
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    Chapter 17 Data and Information Quality in Remote Sensing
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    Chapter 18 Reliability-Aware and Robust Multi-sensor Fusion Toward Ego-Lane Estimation Using Artificial Neural Networks
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    Chapter 19 Analytics and Quality in Medical Encoding Systems
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    Chapter 20 Information Quality: The Nexus of Actionable Intelligence
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    Chapter 21 Ranking Algorithms: Application for Patent Citation Network
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    Chapter 22 Conflict Measures and Importance Weighting for Information Fusion Applied to Industry 4.0
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    Chapter 23 Quantify: An Information Fusion Model Based on Syntactic and Semantic Analysis and Quality Assessments to Enhance Situation Awareness
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    Chapter 24 Adaptive Fusion
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Title
Information Quality in Information Fusion and Decision Making
Published by
Springer International Publishing, March 2019
DOI 10.1007/978-3-030-03643-0
ISBNs
978-3-03-003642-3, 978-3-03-003643-0
Editors

Bossé, Éloi, Rogova, Galina L.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 14%
Lecturer 2 9%
Student > Bachelor 2 9%
Student > Ph. D. Student 2 9%
Student > Master 2 9%
Other 2 9%
Unknown 9 41%
Readers by discipline Count As %
Computer Science 5 23%
Engineering 4 18%
Social Sciences 3 14%
Agricultural and Biological Sciences 1 5%
Unknown 9 41%