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Intelligent Information Systems

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Cover of 'Intelligent Information Systems'

Table of Contents

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    Book Overview
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    Chapter 1 An Architecture for Food Product Recommendation Focusing on Nutrients and Price
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    Chapter 2 Advancing Data Architectures with Data Mesh Implementations
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    Chapter 3 Data Shopping — How an Enterprise Data Marketplace Supports Data Democratization in Companies
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    Chapter 4 An Ontological Characterization of a Conceptual Model of the Human Genome
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    Chapter 5 Synthesizing Configuration Tactics for Exercising Hidden Options in Serverless Systems
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    Chapter 6 The ArchIBALD Data Integration Platform: Bridging Fragmented Processes in the Building Industry
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    Chapter 7 A Meta Survey of Quality Evaluation Criteria in Explanation Methods
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    Chapter 8 Designing a Self-service Analytics System for Transportation Supplier Selection
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    Chapter 9 OntoTrace: A Tool for Supporting Trace Generation in Software Development by Using Ontology-Based Automatic Reasoning
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    Chapter 10 Trusting the Big Brother Inside My Pocket: User-Oriented Requirements for Contact Tracing
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    Chapter 11 Web of Tactile Things: Towards an Open and Standardized Platform for Tactile Things via the W3C Web of Things
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    Chapter 12 Mining Fork-Including Software Development Traces
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    Chapter 13 Temporal Performance Analysis for Block-Structured Process Models in Cortado
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    Chapter 14 Generating Purpose-Driven Explanations: The Case of Process Predictive Model Inspection
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    Chapter 15 Generating Synthetic Sensor Event Logs for Process Mining
Attention for Chapter 10: Trusting the Big Brother Inside My Pocket: User-Oriented Requirements for Contact Tracing
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Citations

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Readers on

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Chapter title
Trusting the Big Brother Inside My Pocket: User-Oriented Requirements for Contact Tracing
Chapter number 10
Book title
Intelligent Information Systems
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-07481-3_10
Book ISBNs
978-3-03-107480-6, 978-3-03-107481-3
Authors

Negri-Ribalta, Claudia, Herbaut, Nicolas, Salinesi, Camille

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 50%
Researcher 1 17%
Unknown 2 33%
Readers by discipline Count As %
Business, Management and Accounting 2 33%
Computer Science 2 33%
Unknown 2 33%