(k, e)-anonymous for ordinal data
© 2015 IEEE. Currently, the data can be gathered, analyzed, and utilized easier than ever with the aiding of Big Data technologies such as mobile devices, elastic computing platform, or convenient software tools. Thus, privacy of such data could become a bigger issue as well. In this paper, we propo...
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| Main Authors: | , , , |
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| Format: | Conference Proceeding |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84964928536&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/54311 |
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| Institution: | Chiang Mai University |