Privacy preservation for re-publication data by using probabilistic graph
© Springer Nature Switzerland AG 2019. With the dynamism of data intensive applications, data can be changed by the insert, update, and delete operations, at all times. Thus, the privacy models are designed to protect the static dataset might not be able to cope with the case of the dynamic dataset...
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| Main Authors: | , , , |
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| Format: | Book Series |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85082339981&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/67744 |
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| Institution: | Chiang Mai University |