Data quality in privacy preservation for associative classification

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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書目詳細資料
Main Authors:	Harnsamut N., Natwichai J., Sun X., Li X.
格式:	Conference or Workshop Item
語言:	English
出版:	2014
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
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Chiang Mai University
語言:	English

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