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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
  2. Altmetric Badge
    Chapter 1 Survey on Methods for Tabular Data Protection in ARGUS
  3. Altmetric Badge
    Chapter 2 Data Swapping: Variations on a Theme by Dalenius and Reiss
  4. Altmetric Badge
    Chapter 3 Bounds for Cell Entries in Two-Way Tables Given Conditional Relative Frequencies
  5. Altmetric Badge
    Chapter 4 A New Tool for Applying Controlled Rounding to a Statistical Table in Microsoft Excel
  6. Altmetric Badge
    Chapter 5 Getting the Best Results in Controlled Rounding with the Least Effort
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    Chapter 6 Computational Experiments with Minimum-Distance Controlled Perturbation Methods
  8. Altmetric Badge
    Chapter 7 Balancing Quality and Confidentiality for Multivariate Tabular Data
  9. Altmetric Badge
    Chapter 8 Reducing the Set of Tables τ -ARGUS Considers in a Hierarchical Setting
  10. Altmetric Badge
    Chapter 9 Approaches to Identify the Amount of Publishable Information in Business Surveys through Waivers
  11. Altmetric Badge
    Chapter 10 Maximum Utility-Minimum Information Loss Table Server Design for Statistical Disclosure Control of Tabular Data
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    Chapter 11 A Fast Network Flows Heuristic for Cell Suppression in Positive Tables
  13. Altmetric Badge
    Chapter 12 On the Security of Noise Addition for Privacy in Statistical Databases
  14. Altmetric Badge
    Chapter 13 Microaggregation for Categorical Variables: A Median Based Approach
  15. Altmetric Badge
    Chapter 14 Evaluating Fuzzy Clustering Algorithms for Microdata Protection
  16. Altmetric Badge
    Chapter 15 Privacy in Statistical Databases
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    Chapter 16 Outlier Protection in Continuous Microdata Masking
  18. Altmetric Badge
    Chapter 17 Re-identification Methods for Masked Microdata
  19. Altmetric Badge
    Chapter 18 Masking and Re-identification Methods for Public-Use Microdata: Overview and Research Problems
  20. Altmetric Badge
    Chapter 19 A Bayesian Hierarchical Model Approach to Risk Estimation in Statistical Disclosure Limitation
  21. Altmetric Badge
    Chapter 20 Individual Risk Estimation in μ -Argus: A Review
  22. Altmetric Badge
    Chapter 21 Analysis of Re-identification Risk Based on Log-Linear Models
  23. Altmetric Badge
    Chapter 22 New Approaches to Confidentiality Protection: Synthetic Data, Remote Access and Research Data Centers
  24. Altmetric Badge
    Chapter 23 Multiply-Imputing Confidential Characteristics and File Links in Longitudinal Linked Data
  25. Altmetric Badge
    Chapter 24 Fast Generation of Accurate Synthetic Microdata
  26. Altmetric Badge
    Chapter 25 Trade-Off between Disclosure Risk and Information Loss Using Multivariate Microaggregation: A Case Study on Business Data
  27. Altmetric Badge
    Chapter 26 The ARGUS Software in the CASC-Project
  28. Altmetric Badge
    Chapter 27 Different Grades of Statistical Disclosure Control Correlated with German Statistics Law
  29. Altmetric Badge
    Chapter 28 Developing Adoptable Disclosure Protection Techniques: Lessons Learned from a U.S. Experience
  30. Altmetric Badge
    Chapter 29 Privacy Preserving and Data Mining in an On-Line Statistical Database of Additive Type
Attention for Chapter 22: New Approaches to Confidentiality Protection: Synthetic Data, Remote Access and Research Data Centers
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

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14 Dimensions

Readers on

mendeley
22 Mendeley
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Chapter title
New Approaches to Confidentiality Protection: Synthetic Data, Remote Access and Research Data Centers
Chapter number 22
Book title
Privacy in Statistical Databases
Published in
Lecture notes in computer science, June 2004
DOI 10.1007/978-3-540-25955-8_22
Book ISBNs
978-3-54-022118-0, 978-3-54-025955-8
Authors

John M. Abowd, Julia Lane

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 9%
Unknown 20 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 32%
Researcher 3 14%
Other 2 9%
Student > Doctoral Student 2 9%
Professor > Associate Professor 2 9%
Other 3 14%
Unknown 3 14%
Readers by discipline Count As %
Computer Science 5 23%
Economics, Econometrics and Finance 3 14%
Mathematics 3 14%
Social Sciences 3 14%
Medicine and Dentistry 2 9%
Other 2 9%
Unknown 4 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 February 2017.
All research outputs
#2,402,560
of 9,064,896 outputs
Outputs from Lecture notes in computer science
#1,724
of 6,802 outputs
Outputs of similar age
#109,226
of 316,415 outputs
Outputs of similar age from Lecture notes in computer science
#40
of 95 outputs
Altmetric has tracked 9,064,896 research outputs across all sources so far. This one has received more attention than most of these and is in the 59th percentile.
So far Altmetric has tracked 6,802 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 62% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,415 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.