InhaltsangabeData Quality: What It is, Why It is Important, and How to Achieve It.- What is Data Quality and Why Should We Care?.- Examples of Entities Using Data\break to their Advantage/Disadvantage.- Properties of Data Quality and Metrics for Measuring It.- Basic Data Quality Tools.- Specialized Tools for Database Improvement.- Mathematical Preliminaries for Specialized Data Quality Techniques.- Automatic Editing and Imputation of Sample Survey Data.- Record Linkage - Methodology.- Estimating the Parameters of the Fellegi-Sunter Record Linkage Model.- Standardization and Parsing.- Phonetic Coding Systems for Names.- Blocking.- String Comparator Metrics for Typographical Error.- Record Linkage Case Studies.- Duplicate FHA Single-Family Mortgage Records.- Record Linkage Case Studies in the Medical, Biomedical, and Highway Safety Areas.- Constructing List Frames and Administrative Lists.- Social Security and Related Topics.- Other Topics.- Confidentiality: Maximizing Access to Micro-data while Protecting Privacy.- Review of Record Linkage Software.- Summary Chapter.

Leseprobe