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Volumn , Issue , 2011, Pages 732-736

A hybrid data anonymization integrated with suppression for preserving privacy in mining multi party data

Author keywords

Classification; Decision Trees; k Anonymity; Privacy Preserving Data Mining

Indexed keywords

ATTRIBUTE VALUES; DATA ANONYMIZATION; DATA MINING APPLICATIONS; DATA RECORDS; DATA SETS; HIERARCHY TREES; K-ANONYMITY; MANIPULATION TECHNIQUES; PRIVACY PRESERVATION; PRIVACY PRESERVING DATA MINING; PRIVATE INFORMATION;

EID: 80052189649     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRTIT.2011.5972462     Document Type: Conference Paper
Times cited : (20)

References (7)
  • 5
    • 0036811143 scopus 로고    scopus 로고
    • Achieving k-anonymity privacy protection using generalization and suppression
    • L. Sweeney, "Achieving k-Anonymity Privacy Protection Using Generalization and Suppression," Int'l J. Uncertainty, Fuzziness, and Knowledge-Based Systems, vol. 10, no. 5, pp. 571-588, 2002.
    • (2002) Int'l J. Uncertainty, Fuzziness, and Knowledge-based Systems , vol.10 , Issue.5 , pp. 571-588
    • Sweeney, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.