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Privacy in Statistical Databases

Overview of attention for book
Cover of 'Privacy in Statistical Databases'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Revisiting Interval Protection, a.k.a. Partial Cell Suppression, for Tabular Data
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    Chapter 2 Precision Threshold and Noise: An Alternative Framework of Sensitivity Measures
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    Chapter 3 Empirical Analysis of Sensitivity Rules: Cells with Frequency Exceeding 10 that Should Be Suppressed Based on Descriptive Statistics
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    Chapter 4 Privacy in Statistical Databases
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    Chapter 5 Anonymization in the Time of Big Data
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    Chapter 6 Privacy in Statistical Databases
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    Chapter 7 A Rule-Based Approach to Local Anonymization for Exclusivity Handling in Statistical Databases
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    Chapter 8 Perturbative Data Protection of Multivariate Nominal Datasets
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    Chapter 9 Spatial Smoothing and Statistical Disclosure Control
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    Chapter 10 Privacy in Statistical Databases
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    Chapter 11 Correcting Finite Sampling Issues in Entropy l -diversity
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    Chapter 12 Creating an ‘Academic Use File’ Based on Descriptive Statistics: Synthetic Microdata from the Perspective of Distribution Type
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    Chapter 13 Privacy in Statistical Databases
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    Chapter 14 Towards a National Remote Access System for Register-Based Research
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    Chapter 15 Accurate Estimation of Structural Equation Models with Remote Partitioned Data
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    Chapter 16 A New Algorithm for Protecting Aggregate Business Microdata via a Remote System
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    Chapter 17 Rank-Based Record Linkage for Re-Identification Risk Assessment
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    Chapter 18 Computational Issues in the Design of Transition Probabilities and Disclosure Risk Estimation for Additive Noise
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    Chapter 19 Enabling Collaborative Privacy in User-Generated Emergency Reports
Attention for Chapter 2: Precision Threshold and Noise: An Alternative Framework of Sensitivity Measures
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Citations

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Chapter title
Precision Threshold and Noise: An Alternative Framework of Sensitivity Measures
Chapter number 2
Book title
Privacy in Statistical Databases
Published by
Springer, Cham, September 2016
DOI 10.1007/978-3-319-45381-1_2
Book ISBNs
978-3-31-945380-4, 978-3-31-945381-1
Authors

Darren Gray, Gray, Darren

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Other 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 3 100%

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