Mining fuzzy association rules and fuzzy frequency episodes for intrusion detection

DOI<link itemprop=identifier href="https://doi.org/10.1002/1098-111X(200008)15:8<687::AID-INT1>3.0.CO;2-X" /><687::AID-INT1>3.0.CO;2-X 10.1002/1098-111X(200008)15:8<687::AID-INT1>3.0.CO;2-XzbMath0970.68577OpenAlexW2094138658MaRDI QIDQ2730085

Susan M. Bridges, Jianxiong Luo

Publication date: 18 October 2001

Full work available at URL: https://doi.org/10.1002/1098-111x(200008)15:8<687::aid-int1>3.0.co;2-x

zbMATH Keywords

computer securityintrusion detection

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Computer system organization (68M99)

Related Items (5)

Selective association rule generator ⋮ Discovering injective episodes with general partial orders ⋮ AN ASPECT QUERY LANGUAGE MODEL BASED ON QUERY DECOMPOSITION AND HIGH‐ORDER CONTEXTUAL TERM ASSOCIATIONS ⋮ Statistical significance of episodes with general partial orders ⋮ A definition for fuzzy approximate dependencies

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