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Privacy-Preserving Data Mining

Overview of attention for book
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
  3. Altmetric Badge
    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 2: A General Survey of Privacy-Preserving Data Mining Models and Algorithms
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Chapter title
A General Survey of Privacy-Preserving Data Mining Models and Algorithms
Chapter number 2
Book title
Privacy-Preserving Data Mining
Published in
PrivacyPreserving Data Mining, January 2008
DOI 10.1007/978-0-387-70992-5_2
Book ISBNs
978-0-387-70991-8, 978-0-387-70992-5
Authors

Charu C. Aggarwal, Philip S. Yu

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 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 433 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
Germany 2 <1%
France 2 <1%
Ireland 2 <1%
Spain 2 <1%
Japan 2 <1%
Kenya 1 <1%
China 1 <1%
India 1 <1%
Other 2 <1%
Unknown 414 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 102 24%
Student > Master 84 19%
Researcher 46 11%
Student > Bachelor 30 7%
Student > Doctoral Student 23 5%
Other 74 17%
Unknown 74 17%
Readers by discipline Count As %
Computer Science 261 60%
Engineering 28 6%
Social Sciences 9 2%
Business, Management and Accounting 6 1%
Medicine and Dentistry 5 1%
Other 31 7%
Unknown 93 21%

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