Achieving k-anonymity for associative classification in incremental-data scenarios
When a data mining model is to be developed, one of the most important issues is preserving the privacy of the input data. In this paper, we address the problem of data transformation to preserve the privacy with regard to a data mining technique, associative classification, in an incremental-data s...
Saved in:
| Main Authors: | , |
|---|---|
| 格式: | Book Series |
| 出版: |
2018
|
| 主題: | |
| 在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=80655143423&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/49867 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|