研究如何运用基于云模型改进的关联规则来分析电信客户行为，进行客户行为知识表示。
The application of association rules was discussed based on the cloud model to analyze telecom customer behavior and knowledge representation.
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.
针对基于区间划分的数值型关联规则分析方法存在的问题，提出了一种基于进制转换的分析方法。
Aiming at the issues on the method of quantitative association rule mining based on section partition, this paper introduces a method based on decimal-binary conversion.
分析了基于轴属性的关联规则方法的局限性，提出了基于聚集显露模式的入侵检测方法。
Faced with the significant limitations of association rules method based axis attribute, a intrusion detection method based aggregation emerging pattern is proposed in this paper.
并通过定义与深入分析故障告警中的关联规则和情节规则，提出了一个基于数据融合和数据挖掘技术的网络故障管理的架构模型。
It presents a new model for network fault management based on data fusion and data mining by defining and discussing the association rule and the frequent episodes.
最后对基于MADSPM模型的流数据关联规则挖掘问题中需注意的一些问题进行了阐述与分析。
Finally the problems in applying the MADSPM model to association rule mining in stream data are discussed and the strategies for solving them are also given.
最后对基于MADSPM模型的流数据关联规则挖掘问题中需注意的一些问题进行了阐述与分析。
Finally the problems in applying the MADSPM model to association rule mining in stream data are discussed and the strategies for solving them are also given.
应用推荐