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...
| Главный автор: | |
|---|---|
| Формат: | Диссертация |
| Язык: | English |
| Опубликовано: |
Quezon City
College of Engineering, University of the Philippines Diliman
2013
|
| Предметы: |