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Privacy in Statistical Databases

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Cover of 'Privacy in Statistical Databases'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Survey on Methods for Tabular Data Protection in ARGUS
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    Chapter 2 Data Swapping: Variations on a Theme by Dalenius and Reiss
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    Chapter 3 Bounds for Cell Entries in Two-Way Tables Given Conditional Relative Frequencies
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    Chapter 4 A New Tool for Applying Controlled Rounding to a Statistical Table in Microsoft Excel
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    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
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    Chapter 7 Balancing Quality and Confidentiality for Multivariate Tabular Data
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    Chapter 8 Reducing the Set of Tables τ -ARGUS Considers in a Hierarchical Setting
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    Chapter 9 Approaches to Identify the Amount of Publishable Information in Business Surveys through Waivers
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    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
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    Chapter 12 On the Security of Noise Addition for Privacy in Statistical Databases
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    Chapter 13 Microaggregation for Categorical Variables: A Median Based Approach
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    Chapter 14 Evaluating Fuzzy Clustering Algorithms for Microdata Protection
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    Chapter 15 Privacy in Statistical Databases
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    Chapter 16 Outlier Protection in Continuous Microdata Masking
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    Chapter 17 Re-identification Methods for Masked Microdata
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    Chapter 18 Masking and Re-identification Methods for Public-Use Microdata: Overview and Research Problems
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    Chapter 19 A Bayesian Hierarchical Model Approach to Risk Estimation in Statistical Disclosure Limitation
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    Chapter 20 Individual Risk Estimation in μ -Argus: A Review
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    Chapter 21 Analysis of Re-identification Risk Based on Log-Linear Models
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    Chapter 22 New Approaches to Confidentiality Protection: Synthetic Data, Remote Access and Research Data Centers
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    Chapter 23 Multiply-Imputing Confidential Characteristics and File Links in Longitudinal Linked Data
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    Chapter 24 Fast Generation of Accurate Synthetic Microdata
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    Chapter 25 Trade-Off between Disclosure Risk and Information Loss Using Multivariate Microaggregation: A Case Study on Business Data
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    Chapter 26 The ARGUS Software in the CASC-Project
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    Chapter 27 Different Grades of Statistical Disclosure Control Correlated with German Statistics Law
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    Chapter 28 Developing Adoptable Disclosure Protection Techniques: Lessons Learned from a U.S. Experience
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    Chapter 29 Privacy Preserving and Data Mining in an On-Line Statistical Database of Additive Type
Attention for Chapter 5: Getting the Best Results in Controlled Rounding with the Least Effort
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Chapter title
Getting the Best Results in Controlled Rounding with the Least Effort
Chapter number 5
Book title
Privacy in Statistical Databases
Published by
Springer, Berlin, Heidelberg, June 2004
DOI 10.1007/978-3-540-25955-8_5
Book ISBNs
978-3-54-022118-0, 978-3-54-025955-8
Authors

Juan-José Salazar-González, Philip Lowthian, Caroline Young, Giovanni Merola, Stephen Bond, David Brown

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 %
Spain 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Professor 1 17%
Student > Ph. D. Student 1 17%
Other 1 17%
Lecturer > Senior Lecturer 1 17%
Unknown 2 33%
Readers by discipline Count As %
Mathematics 2 33%
Computer Science 2 33%
Business, Management and Accounting 1 17%
Unknown 1 17%