Using genetic algorithms for attribute grouping in multivariate microaggregation
Using genetic algorithms for attribute grouping in multivariate microaggregation
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Publisher
London, England: SAGE Publications
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Language
English
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Publisher
London, England: SAGE Publications
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Scope and Contents
Contents
Anonymization techniques that provide k-anonymity suffer from loss of quality when data dimensionality is high. Microaggregation techniques are not an exception. Given a set of records, attributes are grouped into non-intersecting subsets and microaggregated independently. While this improves quality by reducing the loss of information, it usually...
Alternative Titles
Full title
Using genetic algorithms for attribute grouping in multivariate microaggregation
Authors, Artists and Contributors
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Record Identifier
TN_cdi_csuc_recercat_oai_recercat_cat_2072_243612
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_csuc_recercat_oai_recercat_cat_2072_243612
Other Identifiers
ISSN
1088-467X
E-ISSN
1571-4128
DOI
10.3233/IDA-140670
