Achieve K-Anonymity with k-means Clustering and Differential Privacy
碩士 === 國立中山大學 === 資訊工程學系研究所 === 107 === De-identification is a technique for protecting personal privacy on public dataset. It has many methods in the world. All de-identification method achieve de-identified dataset by clustering tuple on dataset, so how to cluster tuple with a better algorithm bec...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/ks2kts |