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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
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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
  20. Altmetric Badge
    Chapter 19 Enabling Collaborative Privacy in User-Generated Emergency Reports
Attention for Chapter 13: Privacy in Statistical Databases
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Chapter title
Privacy in Statistical Databases
Chapter number 13
Book title
Privacy in Statistical Databases
Published in
Lecture notes in computer science, August 2016
DOI 10.1007/978-3-319-45381-1_13
Book ISBNs
978-3-31-945380-4, 978-3-31-945381-1
Authors

Ayala-Rivera, Vanessa, Portillo-Dominguez, A. Omar, Murphy, Liam, Thorpe, Christina, Portillo Dominguez, Andres Omar, Murphy, Liam, B.E., Vanessa Ayala-Rivera, A. Omar Portillo-Dominguez, Liam Murphy, Christina Thorpe

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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 26%
Student > Ph. D. Student 5 16%
Researcher 4 13%
Professor > Associate Professor 2 6%
Student > Bachelor 1 3%
Other 2 6%
Unknown 9 29%
Readers by discipline Count As %
Computer Science 17 55%
Engineering 3 10%
Medicine and Dentistry 1 3%
Unknown 10 32%
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 13 September 2017.
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#20,721,996
of 23,321,213 outputs
Outputs from Lecture notes in computer science
#7,032
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Outputs of similar age
#296,302
of 339,011 outputs
Outputs of similar age from Lecture notes in computer science
#426
of 491 outputs
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So far Altmetric has tracked 8,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 491 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.