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Volumn 3589, Issue , 2005, Pages 468-477

Hiding classification rules for data sharing with privacy preservation

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA MINING; DATA REDUCTION; HEURISTIC METHODS;

EID: 26844519208     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11546849_46     Document Type: Conference Paper
Times cited : (30)

References (11)
  • 2
    • 70349274133 scopus 로고    scopus 로고
    • Privacy in statistical databases
    • Springer, Berlin Heidelberg
    • Domingo-Ferrer, J., Torra, V., eds.: Privacy in Statistical Databases. Volume 3050 of LNCS. Springer, Berlin Heidelberg (2004)
    • (2004) LNCS , vol.3050
    • Domingo-Ferrer, J.1    Torra, V.2
  • 6
    • 26844506956 scopus 로고    scopus 로고
    • A framework for privacy preserving classification in data mining
    • Data Mining and Web Intelligence, and Software Internationalisation, Australian Computer Society, Inc.
    • Islam, M.Z., Brankovic, L.: A framework for privacy preserving classification in data mining. In: Proceedings of the 2nd workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation, Australian Computer Society, Inc. (2004) 163-168
    • (2004) Proceedings of the 2nd Workshop on Australasian Information Security , pp. 163-168
    • Islam, M.Z.1    Brankovic, L.2
  • 10
    • 85149612939 scopus 로고
    • Fast effective rule induction
    • Prieditis, A., Russell, S., eds., Tahoe City, CA, United States, Morgan Kaufmann
    • Cohen, W.W.: Fast effective rule induction. In Prieditis, A., Russell, S., eds.: Proc. of the 12th International Conference on Machine Learning, Tahoe City, CA, United States, Morgan Kaufmann (1995) 115-123
    • (1995) Proc. of the 12th International Conference on Machine Learning , pp. 115-123
    • Cohen, W.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.