A Hybrid Method For K-Anonymization Using Clustering Technique
K-anonymity is a model to protect public released data from identification. These techniques have been focus of intense research in the last few years. An important requirement for such techniques is to minimize the information loss due to anonymization, it is crucial to group similar data together...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/363/1/INCTS03-052017O.pdf http://eprints.utem.edu.my/id/eprint/363/ |
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