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Volumn , Issue , 2007, Pages

Modeling intrusion detection system by discovering association rule in rough set theory framework

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATION RULES; DATA MINING; DATA REDUCTION; INTELLIGENT SYSTEMS; ROUGH SET THEORY;

EID: 38849093376     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMCA.2006.148     Document Type: Conference Paper
Times cited : (15)

References (11)
  • 6
    • 0003200953 scopus 로고
    • Artificial Intelligence and Intrusion Detection: Current and Future Directions
    • October
    • Frank, J. Artificial Intelligence and Intrusion Detection: Current and Future Directions. 17th National Computer Security Conference, pp. 22-33, October 1994.
    • (1994) 17th National Computer Security Conference , pp. 22-33
    • Frank, J.1
  • 10
    • 38849161247 scopus 로고    scopus 로고
    • Srikant, R.; Vu, Q.: and Agrawal, R. Mining Association Rules with Item Constraints. In Proc. Of the Third Int'l Conf. On Knowledge Discovery in Databases and Data Mining, 67-73, 1997.
    • Srikant, R.; Vu, Q.: and Agrawal, R. Mining Association Rules with Item Constraints. In Proc. Of the Third Int'l Conf. On Knowledge Discovery in Databases and Data Mining, 67-73, 1997.
  • 11
    • 0001206731 scopus 로고    scopus 로고
    • S. Vinterbo and A. Øhrn. Minimal approximate hitting sets and rule templates. International Journal of Approximate Reasoning, 25(2): 123-143, 2000.
    • S. Vinterbo and A. Øhrn. Minimal approximate hitting sets and rule templates. International Journal of Approximate Reasoning, 25(2): 123-143, 2000.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.