Privacy-Preserving Data Mining

Table of Contents

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   Book Overview
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   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