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...
| Egile nagusia: | |
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| Formatua: | Thesis |
| Hizkuntza: | English |
| Argitaratua: |
Quezon City
College of Engineering, University of the Philippines Diliman
2013
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| Gaiak: |