Preserving the confidentiality of categorical statistical data bases when releasing information for association rules

Data Mining and Knowledge Discovery

Volumn 11, Issue 2, 2005, Pages 155-180

  Fienberg, Stephen E ^a   Slavkovic, Aleksandra B ^b  

^a Carnegie Mellon University   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Algebraic geometry; Association rules; Conditional tables; Contingency tables; Disclosure limitation; Marginal tables; Privacy preservation

Indexed keywords

DATA PRIVACY; INFORMATION ANALYSIS; STATISTICAL METHODS;

ALGEBRAIC GEOMETRY; ASSOCIATION RULES; CATEGORICAL VARIABLES; CONDITIONAL TABLES; CONTIGENCY TABLES; DATA SETS; DISCLOSURE LIMITATION; MARGINAL TABLES; PRIVACY PRESERVATION; STATISTICAL LITERATURE;

DATABASE SYSTEMS;

EID: 26944471098     PISSN: 13845810     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10618-005-0010-x     Document Type: Review

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