A study on privacy-preserving anonymization for transactional dataset publishing

We study the privacy-preserving problem when publishing transaction datasets. In this dataset, each transaction is an arbitrary set of items that are chosen from a large universe. There may be sensitive information represented by some items from the whole item universe located in the transaction ent...

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Detaylı Bibliyografya
Yazar: Cui, Yuntao (Yazar)
Materyal Türü: Tez
Dil:English
Baskı/Yayın Bilgisi: Quezon City College of Engineering, University of the Philippines Diliman 2013
Konular: