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Volumn 220, Issue , 2010, Pages 153-162

The role of ontologies in the anonymization of textual variables

Author keywords

ontologies; Privacy preserving data mining; semantic similarity; statistical disclosure control

Indexed keywords

DATA MINING; NUMERICAL METHODS; PRIVACY-PRESERVING TECHNIQUES; SEMANTICS;

EID: 78049285827     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-60750-643-0-153     Document Type: Conference Paper
Times cited : (7)

References (22)
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  • 9
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    • Guo, L., Wu, X. Privacy preserving categorical data analysis with unknown distortion parameters, Transactions on Data Privacy, 2, (2009) 185-205.
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    • Guo, L.1    Wu, X.2
  • 10
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    • Anonymization of set-valued data via top-down, local generalization
    • Lyon, France
    • He, Y., Naughton, J. F. Anonymization of Set-Valued Data via Top-Down, Local Generalization. 35th Int. Conf. VLDB. V.2. Lyon, France, (2009), 934-945.
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    • Protecting privacy when disclosing information: K-anonymity and its enforcement through generalization and suppression
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.