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Privacy in Statistical Databases

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

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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
  5. Altmetric Badge
    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
  8. Altmetric Badge
    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
  20. Altmetric Badge
    Chapter 19 Enabling Collaborative Privacy in User-Generated Emergency Reports
Attention for Chapter 4: Privacy in Statistical Databases
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Chapter title
Privacy in Statistical Databases
Chapter number 4
Book title
Privacy in Statistical Databases
Published in
Lecture notes in computer science, August 2016
DOI 10.1007/978-3-319-45381-1_4
Pubmed ID
Book ISBNs
978-3-31-945380-4, 978-3-31-945381-1
Authors

Josep Domingo-Ferrer, Mirjana Pejić-Bach, Goran Lesaja, Jordi Castro, Anna Oganian, Lesaja, Goran, Castro, Jordi, Oganian, Anna, Castro Pérez, Jordi

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Other 1 17%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Computer Science 3 50%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 April 2017.
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#20,349,664
of 22,896,955 outputs
Outputs from Lecture notes in computer science
#6,993
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Outputs of similar age
#294,517
of 337,481 outputs
Outputs of similar age from Lecture notes in computer science
#420
of 486 outputs
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