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Discrimination and Privacy in the Information Society

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Cover of 'Discrimination and Privacy in the Information Society'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Data Dilemmas in the Information Society: Introduction and Overview
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    Chapter 2 What Is Data Mining and How Does It Work?
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    Chapter 3 Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures
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    Chapter 4 A Comparative Analysis of Anti-Discrimination and Data Protection Legislations
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    Chapter 5 The Discovery of Discrimination
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    Chapter 6 Discrimination Data Analysis: A Multi-disciplinary Bibliography
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    Chapter 7 Risks of Profiling and the Limits of Data Protection Law
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    Chapter 8 Explainable and Non-explainable Discrimination in Classification
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    Chapter 9 Knowledge-Based Policing: Augmenting Reality with Respect for Privacy
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    Chapter 10 Combining and Analyzing Judicial Databases
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    Chapter 11 Privacy-Preserving Data Mining Techniques: Survey and Challenges
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    Chapter 12 Techniques for Discrimination-Free Predictive Models
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    Chapter 13 Direct and Indirect Discrimination Prevention Methods
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    Chapter 14 Introducing Positive Discrimination in Predictive Models
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    Chapter 15 From Data Minimization to Data Minimummization
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    Chapter 16 Quality of Information, the Right to Oblivion and Digital Reputation
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    Chapter 17 Transparency in Data Mining: From Theory to Practice
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    Chapter 18 Data Mining as Search: Theoretical Insights and Policy Responses
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    Chapter 19 The Way Forward
Attention for Chapter 17: Transparency in Data Mining: From Theory to Practice
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Chapter title
Transparency in Data Mining: From Theory to Practice
Chapter number 17
Book title
Discrimination and Privacy in the Information Society
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-30487-3_17
Book ISBNs
978-3-64-230486-6, 978-3-64-230487-3
Authors

Tal Zarsky, Zarsky, Tal

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Professor > Associate Professor 1 13%
Student > Bachelor 1 13%
Researcher 1 13%
Unknown 2 25%
Readers by discipline Count As %
Social Sciences 4 50%
Computer Science 1 13%
Arts and Humanities 1 13%
Unknown 2 25%