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Volumn , Issue , 2008, Pages 299-309

A class of probabilistic models for role engineering

Author keywords

Clustering; Machine learning; RBAC; Role mining

Indexed keywords

CLUSTERING; CRITICAL TASKS; DEGREES OF FREEDOM; DIFFERENT DOMAINS; ERRONEOUS USERS; MACHINE LEARNING; MACHINE LEARNING ALGORITHMS; PROBABILISTIC MODELS; RBAC; REAL WORLD DATA; ROLE ENGINEERING; ROLE MINING; ROLE-BASED ACCESS CONTROL;

EID: 70049099334     PISSN: 15437221     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1455770.1455809     Document Type: Conference Paper
Times cited : (59)

References (18)
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  • 2
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    • (1974) Commun. ACM , vol.17 , Issue.6 , pp. 315-318
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    • H. Lu, J. Vaidya, and V. Atluri. Optimal Boolean matrix decomposition: Application to role engineering. In Proceedings of the 24-th International Conference on Data Engineering (ICDE), pages -, 2008.
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    • Neal, R.M.1
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.