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Volumn 2002-January, Issue , 2002, Pages 151-158

Privacy preserving association rule mining

Author keywords

Association rules; Data engineering; Data mining; Data privacy; Data security; Educational institutions; Hardware; Information security; Internet; Space technology

Indexed keywords

ASSOCIATION RULES; COMMERCE; COMPUTER HARDWARE; DATA PRIVACY; ELECTRONIC COMMERCE; HISTORIC PRESERVATION; INTERNET; SECURITY OF DATA;

EID: 33746083334     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RIDE.2002.995109     Document Type: Conference Paper
Times cited : (121)

References (9)
  • 1
    • 0034827009 scopus 로고    scopus 로고
    • On the Deisgn and Quantification of Privacy Preserving Data Mining Algorithms
    • D. Agrawal and C. Aggarwal. On the Deisgn and Quantification of Privacy Preserving Data Mining Algorithms. Proceedings of PODS, pages 247-255, 2001.
    • (2001) Proceedings of PODS , pp. 247-255
    • Agrawal, D.1    Aggarwal, C.2
  • 5
    • 0034497773 scopus 로고    scopus 로고
    • Using Sample Size to Limit Exposure to Data Mining
    • C. Clifton. Using Sample Size to Limit Exposure to Data Mining. Journal of Computer Security, 8(4), 2000.
    • (2000) Journal of Computer Security , vol.8 , Issue.4
    • Clifton, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.