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Volumn , Issue , 2006, Pages 530-534

Preserving private knowledge in frequent pattern mining

Author keywords

[No Author keywords available]

Indexed keywords

FREQUENT PATTERN MINING; ITEM-BASED; PATTERN SET; POTENTIAL THREATS; PRIVACY AND SECURITY; SANITIZATION; SENSITIVE INFORMATIONS;

EID: 78449305130     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icdmw.2006.132     Document Type: Conference Paper
Times cited : (8)

References (12)
  • 1
    • 0002221136 scopus 로고
    • Fast algorithms for mining association rules in large databases
    • R. Agrawal and R. Srikant. Fast algorithms for mining association rules in large databases. In VLDB, pages 487-499, 1994.
    • (1994) VLDB , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 6
    • 2442449952 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation: A frequent-pattern tree approach
    • J. Han, J. Pei, Y. Yin, and R. Mao. Mining frequent patterns without candidate generation: A frequent-pattern tree approach. Data Min. Knowl. Discov., 8(1):53-87, 2004.
    • (2004) Data Min. Knowl. Discov. , vol.8 , Issue.1 , pp. 53-87
    • Han, J.1    Pei, J.2    Yin, Y.3    Mao, R.4
  • 8
    • 84879121553 scopus 로고    scopus 로고
    • Algorithms for balancing privacy and knowledge discovery in association rule mining
    • S. R. M. Oliveira and O. R. Zaïane. Algorithms for balancing privacy and knowledge discovery in association rule mining. In IDEAS, pages 54-65, 2003.
    • (2003) IDEAS , pp. 54-65
    • Oliveira, S.R.M.1    Zaïane, O.R.2
  • 10
    • 0344990562 scopus 로고    scopus 로고
    • Using unknowns to prevent discovery of association rules
    • Y. Saygin, V. S. Verykios, and C. Clifton. Using unknowns to prevent discovery of association rules. SIGMOD Record, 30(4):45-54, 2001.
    • (2001) SIGMOD Record , vol.30 , Issue.4 , pp. 45-54
    • Saygin, Y.1    Verykios, V.S.2    Clifton, C.3
  • 12
    • 33746093272 scopus 로고    scopus 로고
    • An effective approach for hiding sensitive knowledge in data publishing
    • Z.Wang, B. Liu,W.Wang, H. Zhou, and B. Shi. An effective approach for hiding sensitive knowledge in data publishing. In WAIM, pages 146-157, 2006.
    • (2006) WAIM , pp. 146-157
    • Wang, Z.1    Liu, B.2    Wang, W.3    Zhou, H.4    Shi, B.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.