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Volumn 2, Issue , 2006, Pages 114-119

Improving intrusion detection performance using rough set theory and association rule mining

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; DATA MINING; DATA STRUCTURES; ELECTRONIC DOCUMENT IDENTIFICATION SYSTEMS; INTELLIGENT SYSTEMS; MATHEMATICAL MODELS; ROUGH SET THEORY;

EID: 34247264384     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICHIT.2006.253599     Document Type: Conference Paper
Times cited : (12)

References (11)
  • 10
    • 34247255351 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, 1997, pp. 67- 73.
    • 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, 1997, pp. 67- 73.
  • 11
    • 0001206731 scopus 로고    scopus 로고
    • S. Vinterbo and A. Øhrn. Minimal approximate hitting sets and rule templates. International Journal of Approximate Reasoning, 2000, 25(2), pp. 123-143.
    • S. Vinterbo and A. Øhrn. Minimal approximate hitting sets and rule templates. International Journal of Approximate Reasoning, 2000, 25(2), pp. 123-143.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.