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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Podrobná bibliografie
Hlavní autor: Cui, Yuntao (Autor)
Médium: Diplomová práce
Jazyk:English
Vydáno: Quezon City College of Engineering, University of the Philippines Diliman 2013
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