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Inference Control in Statistical Databases

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Cover of 'Inference Control in Statistical Databases'

Table of Contents

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    Book Overview
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    Chapter 1 Advances in Inference Control in Statistical Databases: An Overview
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    Chapter 2 Cell Suppression: Experience and Theory
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    Chapter 3 Bounds on Entries in 3-Dimensional Contingency Tables Subject to Given Marginal Totals
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    Chapter 4 Extending Cell Suppression to Protect Tabular Data against Several Attackers
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    Chapter 5 Network Flows Heuristics for Complementary Cell Suppression: An Empirical Evaluation and Extensions
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    Chapter 6 HiTaS: A Heuristic Approach to Cell Suppression in Hierarchical Tables
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    Chapter 7 Model Based Disclosure Protection
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    Chapter 8 Microdata Protection through Noise Addition
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    Chapter 9 Sensitive Micro Data Protection Using Latin Hypercube Sampling Technique
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    Chapter 10 Integrating File and Record Level Disclosure Risk Assessment
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    Chapter 11 Disclosure Risk Assessment in Perturbative Microdata Protection
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    Chapter 12 LHS-Based Hybrid Microdata vs Rank Swapping and Microaggregation for Numeric Microdata Protection
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    Chapter 13 Post-Masking Optimization of the Tradeoff between Information Loss and Disclosure Risk in Masked Microdata Sets
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    Chapter 14 The CASC Project
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    Chapter 15 Tools and Strategies to Protect Multiple Tables with the GHQUAR Cell Suppression Engine
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    Chapter 16 SDC in the 2000 U.S. Decennial Census
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    Chapter 17 Applications of Statistical Disclosure Control at Statistics Netherlands
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    Chapter 18 Empirical Evidences on Protecting Population Uniqueness at Idescat
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Title
Inference Control in Statistical Databases
Published by
Springer Science & Business Media, April 2002
DOI 10.1007/3-540-47804-3
ISBNs
978-3-54-043614-0, 978-3-54-047804-1
Editors

Domingo-Ferrer, Josep

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Virgin Islands, U.S. 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Master 2 22%
Researcher 2 22%
Professor 1 11%
Professor > Associate Professor 1 11%
Other 0 0%
Readers by discipline Count As %
Computer Science 3 33%
Unspecified 2 22%
Mathematics 2 22%
Environmental Science 1 11%
Earth and Planetary Sciences 1 11%
Other 0 0%