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Volumn 4, Issue 4, 2008, Pages 320-326

An effective data transformation approach for privacy preserving clustering

Author keywords

Categorical data; Clustering; Data transformation; Rotation; Scaling; Translation

Indexed keywords


EID: 54449090880     PISSN: 15493636     EISSN: None     Source Type: Journal    
DOI: 10.3844/jcssp.2008.320.326     Document Type: Article
Times cited : (22)

References (18)
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    • Chen, K.1    Liu, L.2
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    • Culnan, M.J.1
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    • Database security-concepts, approaches and challenges
    • DOI:10.1109/TDSC.2005.9
    • Elisa Bertino and Ravi Sandhu, 2005. Database security-concepts, approaches and challenges. IEEE Trans. Dependable Secure Computing.,Vol 2, No.1, pp:2-19. DOI:10.1109/TDSC.2005.9
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    • Bertino, E.1    Sandhu, R.2
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    • DOI:10.1145/846170.846176
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    • (1999) ACM SIGKDDM , vol.1 , pp. 9-11
    • John, G.H.1
  • 12
    • 0033207750 scopus 로고    scopus 로고
    • A general additive data perturbation method for database security
    • Muralidhar, K., R. Parsa and R. Sarathy, 1999. A general additive data perturbation method for database security, J. Mgmt. science, Vol:45,pp: 1399-1415.
    • (1999) J. Mgmt. science , vol.45 , pp. 1399-1415
    • Muralidhar, K.1    Parsa, R.2    Sarathy, R.3
  • 14
    • 54449095762 scopus 로고    scopus 로고
    • Stanley R. M. Oliveira, Osmar and R. Zaiyane, 2003. Privacy preserving clustering by data transformation. In: Proceedings of 18th Brazilian Conference on Databases, October 2003, Manaus, Brazil, pp 304-318.
    • Stanley R. M. Oliveira, Osmar and R. Zaiyane, 2003. Privacy preserving clustering by data transformation. In: Proceedings of 18th Brazilian Conference on Databases, October 2003, Manaus, Brazil, pp 304-318.
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    • Geetha Jagannathan_ Krishnan Pillaipakkamnatt Rebecca N. Wright, 2006, A New Privacy-Preserving Distributed k-Clustering Algorithm. In: Proceedings.of the SIAM International Conference on Data Mining, pp:494-498.
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    • Stanley R.M. Oliveira, Osmar R Zaiane, 2004. Privacy-preserving clustering by object similarity-based representation and dimensionality reduction transformation, In: Proceedings of the ICDM Workshop on Privacy and Security Aspects of Data Mining, pp: 40-46.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.