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: | Book Series |
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2018
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| 在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=68749105788&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/60280 |
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| 機構: | Chiang Mai University |
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