FCA-based reasoning for privacy
FCA-based reasoning for privacy
About this item
Full title
Author / Creator
Publisher
Oxford University Press
Journal title
Language
English
Formats
Publication information
Publisher
Oxford University Press
More information
Scope and Contents
Contents
Abstract
Notwithstanding the potential danger to security and privacy, sharing and publishing data has become usual in Data Science. To preserve privacy, de-identification methodologies guided by risk estimation have been designed. Two issues associated with classical risk metrics are, on the one hand, the adequacy of the metric and, on the othe...
Alternative Titles
Full title
FCA-based reasoning for privacy
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_crossref_primary_10_1093_jigpal_jzae011
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1093_jigpal_jzae011
Other Identifiers
ISSN
1367-0751
E-ISSN
1368-9894
DOI
10.1093/jigpal/jzae011
