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...

Szczegółowa specyfikacja

Opis bibliograficzny
1. autor: Cui, Yuntao (Autor)
Format: Praca dyplomowa
Język:English
Wydane: Quezon City College of Engineering, University of the Philippines Diliman 2013
Hasła przedmiotowe: