A comparative study of microaggregation methods
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Autores: Josep Maria Mateo Sanz
, Josep Domingo i Ferrer
- Localización: Questiió: Quaderns d'Estadística, Sistemes, Informatica i Investigació Operativa, ISSN 0210-8054, Vol. 22, Nº. 3, 1998, págs. 511-526
- Idioma: inglés
- Títulos paralelos:
- Estudio comparativo de métodos de microagregación
- Enlaces
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Resumen
Microaggregation is a statistical disclosure control technique for microdata. Raw microdata (i.e. individual records) are grouped into small aggregates prior to publication. Each aggregate should contain at least k records to prevent disclosure of individual information. Fixed-size microaggregation consists of taking fixed-size microaggregates (size k). Data-oriented microaggregation (with variable group size) was introduced recently. Regardless of the group size, microaggregations on a multidimensional data set can be formed using univariate techniques on projected data or using multivariate techniques. This paper presents the first method for multivariate fixed-sixe microaggregation. In addition, a real data set is used to compare the information loss and output data quality of fixed-size vs. data-oriented, and univariate vs. multivariate microaggregation
