Discrimination and Privacy in the Information Society

Data Mining and Profiling in Large Databases

Editors:

ISBN: 978-3-642-30486-6 (Print) 978-3-642-30487-3 (Online)

Table of contents (19 chapters)

  1. Front Matter

    Pages 1-16

  2. Opportunities of Data Mining and Profiling

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 3-26

      Data Dilemmas in the Information Society: Introduction and Overview

    3. No Access

      Book Chapter

      Pages 27-42

      What Is Data Mining and How Does It Work?

    4. No Access

      Book Chapter

      Pages 43-57

      Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures

  3. Possible Discrimination and Privacy Issues

    1. Front Matter

      Pages 59-59

    2. No Access

      Book Chapter

      Pages 61-89

      A Comparative Analysis of Anti-Discrimination and Data Protection Legislations

    3. No Access

      Book Chapter

      Pages 91-108

      The Discovery of Discrimination

    4. No Access

      Book Chapter

      Pages 109-135

      Discrimination Data Analysis: A Multi-disciplinary Bibliography

    5. No Access

      Book Chapter

      Pages 137-152

      Risks of Profiling and the Limits of Data Protection Law

  4. Practical Applications

    1. Front Matter

      Pages 153-153

    2. No Access

      Book Chapter

      Pages 155-170

      Explainable and Non-explainable Discrimination in Classification

    3. No Access

      Book Chapter

      Pages 171-189

      Knowledge-Based Policing: Augmenting Reality with Respect for Privacy

    4. No Access

      Book Chapter

      Pages 191-206

      Combining and Analyzing Judicial Databases

  5. Solutions in Code

    1. Front Matter

      Pages 207-207

    2. No Access

      Book Chapter

      Pages 209-221

      Privacy-Preserving Data Mining Techniques: Survey and Challenges

    3. No Access

      Book Chapter

      Pages 223-239

      Techniques for Discrimination-Free Predictive Models

    4. No Access

      Book Chapter

      Pages 241-254

      Direct and Indirect Discrimination Prevention Methods

    5. No Access

      Book Chapter

      Pages 255-270

      Introducing Positive Discrimination in Predictive Models

  6. Solutions in Law, Norms and the Market

    1. Front Matter

      Pages 271-271

    2. No Access

      Book Chapter

      Pages 273-287

      From Data Minimization to Data Minimummization

    3. No Access

      Book Chapter

      Pages 289-299

      Quality of Information, the Right to Oblivion and Digital Reputation

    4. No Access

      Book Chapter

      Pages 301-324

      Transparency in Data Mining: From Theory to Practice

    5. No Access

      Book Chapter

      Pages 325-338

      Data Mining as Search: Theoretical Insights and Policy Responses

  7. Concise Conclusions

    1. Front Matter

      Pages 339-339

    2. No Access

      Book Chapter

      Pages 341-357

      The Way Forward

  8. Back Matter

    Pages 0--1