Titlebook: Statistical Disclosure Control for Microdata; Methods and Applicat Matthias Templ Book 2017 Springer International Publishing AG 2017 62D99

令人不愉快

书目名称Statistical Disclosure Control for Microdata影响因子(影响力)




书目名称Statistical Disclosure Control for Microdata影响因子(影响力)学科排名




书目名称Statistical Disclosure Control for Microdata网络公开度




书目名称Statistical Disclosure Control for Microdata网络公开度学科排名




书目名称Statistical Disclosure Control for Microdata被引频次




书目名称Statistical Disclosure Control for Microdata被引频次学科排名




书目名称Statistical Disclosure Control for Microdata年度引用




书目名称Statistical Disclosure Control for Microdata年度引用学科排名




书目名称Statistical Disclosure Control for Microdata读者反馈




书目名称Statistical Disclosure Control for Microdata读者反馈学科排名

faucet

Basic Concepts,e variables or key variables. They are crucial for any other chapter, since SDC methods differ depending on the variables chosen. In addition, basic intruder scenarios are described such as identity, attribute and inferential disclosure. The chapter ends with a discussion about the trade-off between

蜈蚣

浪荡子

debris

Morsel

Synthetic Data,ata. In addition, it is also a tool to create “augmented data sets” which serve as input for micro-simulation models or as data sets for remote execution. Multiple approaches and tools have been developed to generate synthetic data. These approaches can be categorized into three main groups: synthet

美色花钱

Case Studies,y Income and Expenditure Survey (FIES), the Structural Earnings Survey (SES), International Income Distribution Database (I2D2), the Global Purchasing Power Parities and Real Expenditures data (P4), the so-called SHIP data, and the European Union Statistics on Income and Living Conditions (EU-SILC)

玷污

ures numerous examples, exercises with solutions, and case s.This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, informa

admission

Basic Concepts, disclosure risk and information loss. The more the disclosure risk is reduced the higher the information loss and the lower the data utility. The concept of risk-utility maps that reports this trade-off is explained based on real data.

CAJ