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Privacy-Preserving Data Mining

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Cover of 'Privacy-Preserving Data Mining'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 An Introduction to Privacy-Preserving Data Mining
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    Chapter 2 A General Survey of Privacy-Preserving Data Mining Models and Algorithms
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    Chapter 3 A Survey of Inference Control Methods for Privacy-Preserving Data Mining
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    Chapter 4 Measures of Anonymity
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    Chapter 5 k -Anonymous Data Mining: A Survey
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    Chapter 6 A Survey of Randomization Methods for Privacy-Preserving Data Mining
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    Chapter 7 A Survey of Multiplicative Perturbation for Privacy-Preserving Data Mining
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    Chapter 8 A Survey of Quantification of Privacy Preserving Data Mining Algorithms
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    Chapter 9 A Survey of Utility-based Privacy-Preserving Data Transformation Methods
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    Chapter 10 Mining Association Rules under Privacy Constraints
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    Chapter 11 A Survey of Association Rule Hiding Methods for Privacy
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    Chapter 12 A Survey of Statistical Approaches to Preserving Confidentiality of Contingency Table Entries
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    Chapter 13 A Survey of Privacy-Preserving Methods Across Horizontally Partitioned Data
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    Chapter 14 A Survey of Privacy-Preserving Methods Across Vertically Partitioned Data
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    Chapter 15 A Survey of Attack Techniques on Privacy-Preserving Data Perturbation Methods
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    Chapter 16 Private Data Analysis via Output Perturbation
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    Chapter 17 A Survey of Query Auditing Techniques for Data Privacy
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    Chapter 18 Privacy and the Dimensionality Curse
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    Chapter 19 Personalized Privacy Preservation
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    Chapter 20 Privacy-Preserving Data Stream Classification
Attention for Chapter 5: k -Anonymous Data Mining: A Survey
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Chapter title
k -Anonymous Data Mining: A Survey
Chapter number 5
Book title
Privacy-Preserving Data Mining
Published by
Springer, Boston, MA, January 2008
DOI 10.1007/978-0-387-70992-5_5
Book ISBNs
978-0-387-70991-8, 978-0-387-70992-5
Authors

V. Ciriani, S. De Capitani di Vimercati, S. Foresti, P. Samarati, Ciriani, V., di Vimercati, S. De Capitani, Foresti, S., Samarati, P.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 5%
United States 2 3%
Iran, Islamic Republic of 1 2%
Ireland 1 2%
Greece 1 2%
Slovenia 1 2%
Unknown 53 85%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 26%
Student > Ph. D. Student 15 24%
Researcher 13 21%
Professor > Associate Professor 3 5%
Student > Doctoral Student 2 3%
Other 7 11%
Unknown 6 10%
Readers by discipline Count As %
Computer Science 45 73%
Engineering 5 8%
Energy 1 2%
Business, Management and Accounting 1 2%
Chemistry 1 2%
Other 1 2%
Unknown 8 13%

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