Anonymizing transaction data to eliminate sensitive inferences

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6261 LNCS, Issue PART 1, 2010, Pages 400-415

  Loukides, Grigorios ^a   Gkoulalas Divanis, Aris ^a,c   Shao, Jianhua ^b  

^a VANDERBILT UNIVERSITY   (United States)

^b CARDIFF UNIVERSITY   (United Kingdom)

^c IBM RESEARCH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

DATA UTILITIES; EFFECTIVE ALGORITHMS; INFORMATION LOSS; MODEL POTENTIAL; PRIVACY BREACHES; PRIVACY PROTECTION; REAL WORLD DATA; STATE-OF-THE-ART METHODS; TRANSACTION DATA; TRANSACTION INFORMATION;

EXPERT SYSTEMS; PROBLEM SOLVING;

DATA PRIVACY;

EID: 78049360732     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15364-8_34     Document Type: Conference Paper

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