设计了基于序列聚类算法的故障告警关联规则分析模型。
A fault alarms correlation rule analysis model based on sequence clustering algorithm is designed.
本文通过对审计数据进行关联规则分析，发现潜在的攻击系统行为。
This paper focuses on discovering the potential attack behaviors by analyzing association rules in audit data.
结论在肝癌病人资料中应用关联规则分析可以揭示多因素间潜在的、有价值的关系。
Conclusion Applying association rules analysis in the liver cancer patients data could discover some potential, valuable relationships of multi-factors in the data.
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