Data quality in privacy preservation for associative classification
Privacy preserving has become an essential process for any data mining task. In general, data transformation is needed to ensure privacy preservation. Once the privacy is preserved, data quality issue must be addressed, i.e. the impact on data quality should be minimized. In this paper, k-Anonymizat...
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| Main Authors: | , , , |
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| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2014
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| 在線閱讀: | http://www.scopus.com/inward/record.url?eid=2-s2.0-68749105788&partnerID=40&md5=d7ed1e9bef0f79792f8b3a5c5b108993 http://cmuir.cmu.ac.th/handle/6653943832/1370 |
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