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Disclosure Control of Business Microdata: A Density‐Based Approach
Author(s) -
Ichim Daniela
Publication year - 2009
Publication title -
international statistical review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.051
H-Index - 54
eISSN - 1751-5823
pISSN - 0306-7734
DOI - 10.1111/j.1751-5823.2009.00079.x
Subject(s) - microdata (statistics) , measure (data warehouse) , outlier , local outlier factor , anomaly detection , econometrics , masking (illustration) , computer science , key (lock) , data mining , sample (material) , statistics , mathematics , computer security , medicine , environmental health , art , population , chemistry , chromatography , visual arts , census
Summary For continuous key variables, a measure of the individual risk of disclosure is proposed. This risk measure, the local outlier factor, estimates the density around a unit. A selective masking method based on the nearest‐neighbour principle and microaggregation is also introduced. Some results of an application to the Italian sample of the Community Innovation Survey are presented.