ScholarLens Back to search
1998•Unpublished venueRequires access

PRODUCING PUBLIC-USE MICRODATA THAT ARE ANALYTICALLY VALID AND CONFIDENTIAL

William E. Winkler

Open publisher page 7 citations

Abstract

This paper compares several masking methods in terms of their ability to produce analytically valid, confidential microdata.

About this research paper

What this paper is about

This paper compares several masking methods in terms of their ability to produce analytically valid, confidential microdata.

Why it matters

OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper compares several masking methods in terms of their ability to produce analytically valid, confidential microdata.

Key concepts: Microdata (statistics), Confidentiality, Computer science, Record linkage, Masking (illustration), Data mining, Information retrieval, Data science

Back to paper searchBrowse research topicsOriginal source
PRODUCING PUBLIC-USE MICRODATA THAT ARE ANALYTICALLY VALID AND CONFIDENTIAL — Research Paper | ScholarLens