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European Data Protection: In Good Health?

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Cover of 'European Data Protection: In Good Health?'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 We Are All Connected to Facebook … by Facebook!
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    Chapter 2 Behavioural Tracking on the Internet: A Technical Perspective
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    Chapter 3 Privacy for Loan Applicants Versus Predictive Power for Loan Providers: Is It Possible to Bridge the Gap?
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    Chapter 4 Cookie Wars: How New Data Profiling and Targeting Techniques Threaten Citizens and Consumers in the “Big Data” Era
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    Chapter 5 The Data Mining Balancing Act
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    Chapter 6 Managing Suspicion and Privacy in Police Information Systems
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    Chapter 7 The Set Up of Data Protection Authorities as a New Regulatory Approach
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    Chapter 8 Information Sharing in the Area of Freedom, Security and Justice—Towards a Common Standard for Data Exchange Between Agencies and EU Information Systems
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    Chapter 9 The Adequacy of an EU-US Partnership
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    Chapter 10 Law Enforcement in the Clouds: Is the EU Data Protection Legal Framework up to the Task?
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    Chapter 11 Privacy Self-regulation Through Awareness?
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    Chapter 12 Privacy Penetration Testing: How to Establish Trust in Your Cloud Provider
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    Chapter 13 Review of the Data Protection Directive: Is There Need (and Room) For a New Concept of Personal Data?
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    Chapter 14 Towards a European eID Regulatory Framework
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    Chapter 15 From the Protection of Data to the Protection of Individuals: Extending the Application of Non-discrimination Principles
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    Chapter 16 On the Principle of Privacy by Design and its Limits: Technology, Ethics and the Rule of Law
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    Chapter 17 The Right to Forget, the Right to be Forgotten
Attention for Chapter 5: The Data Mining Balancing Act
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Citations

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Chapter title
The Data Mining Balancing Act
Chapter number 5
Book title
European Data Protection: In Good Health?
Published by
Springer, Dordrecht, January 2012
DOI 10.1007/978-94-007-2903-2_5
Book ISBNs
978-9-40-072902-5, 978-9-40-072903-2
Authors

Tal Z. Zarsky, Zarsky, Tal Z.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 60%
Professor > Associate Professor 1 20%
Student > Ph. D. Student 1 20%
Readers by discipline Count As %
Social Sciences 3 60%
Engineering 2 40%