메뉴 건너뛰기




Volumn , Issue , 2005, Pages 374-383

A new scheme on privacy-preserving classification

Author keywords

Privacy; Privacy preserving data mining

Indexed keywords

ALGEBRA; DATA MINING; INFORMATION ANALYSIS; PROBLEM SOLVING; CLASSIFICATION (OF INFORMATION); DISTRIBUTED DATABASE SYSTEMS; MIDDLEWARE; PRIVACY BY DESIGN; RANDOM PROCESSES;

EID: 32344442645     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (55)

References (17)
  • 6
    • 0003582713 scopus 로고    scopus 로고
    • Beyond concern: Understanding net users' attitudes about online privacy
    • AT&T Labs-Research
    • L. Cranor, J. Reagle, and M. S. Ackerman. Beyond concern: Understanding net users' attitudes about online privacy. Technical Report TR 99.4.3, AT&T Labs-Research, 1999.
    • (1999) Technical Report , vol.TR 99.4.3
    • Cranor, L.1    Reagle, J.2    Ackerman, M.S.3
  • 15
    • 33744584654 scopus 로고
    • Induction of decision trees
    • J. R. Quinlan. Induction of decision trees. Machine Learning, 1(1):81-106, 1986.
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.R.1
  • 16
    • 12244251996 scopus 로고    scopus 로고
    • Privacy preserving naïve bayes classifier for vertically partitioned data
    • SIAM Press
    • J. Vaidya and C. Clifton. Privacy preserving naïve bayes classifier for vertically partitioned data. In Proceedings of the 4th SIAM Conference on Data Mining, pages 330-334. SIAM Press, 2004.
    • (2004) Proceedings of the 4th SIAM Conference on Data Mining , pp. 330-334
    • Vaidya, J.1    Clifton, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.