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Volumn , Issue , 2009, Pages 101-111

A probabilistic approach to hybrid role mining

Author keywords

Business meaning; Hybrid role mining; Machine learning; RBAC; Role mining

Indexed keywords

BUSINESS INFORMATION; BUSINESS MEANING; BUSINESS PERSPECTIVE; ENTERPRISE DATA; MINING ALGORITHMS; MINING MACHINES; MINING METHODS; PROBABILISTIC APPROACHES; PROBABILISTIC MODELS; ROLE-BASED ACCESS CONTROL; STATISTICAL MEASURES;

EID: 74049139498     PISSN: 15437221     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1653662.1653675     Document Type: Conference Paper
Times cited : (79)

References (23)
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    • (1994) Proc. 20th Int. Conf. Very Large Data Bases, VLDB , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 2
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  • 12
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    • (2005) Lecture Notes in Computer Science , vol.3626
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    • Process-oriented approach for role-finding to implement role-based security administration in a large industrial organization
    • New York, NY, USA, ACM
    • H. Roeckle, G. Schimpf, and R. Weidinger. Process-oriented approach for role-finding to implement role-based security administration in a large industrial organization. In RBAC '00: Proceedings of the fifth ACM workshop on Role-based access control, pages 103-110, New York, NY, USA, 2000. ACM.
    • (2000) RBAC '00: Proceedings of the fifth ACM workshop on Role-based access control , pp. 103-110
    • Roeckle, H.1    Schimpf, G.2    Weidinger, R.3
  • 18
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    • Vector quantization by deterministic annealing
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    • Rose, K.1    Gurewitz, E.2    Fox, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.