基于多维关联规则的区域能源安全外生警源隐含特征分析

针对现阶段我国区域能源安全突发事件频现的问题，对区域能源安全外生警源隐含特性展开了研究。通过对区域能源安全事件案例抽取，构建了能源安全外生警源属性集和数据集。依据数据集的特点设计了能源安全外生警源多维关联规则挖掘模型。该模型首先基于多维属性融合的思路，通过把属性划分为事务项，将外生警源多维属性映射为一维，然后利用Apriori算法的基本原理进行规则挖掘；在此基础上，将该模型应用于能源安全外生警源隐含特征分析中，研究警源属性间的关联关系，实现强关联规则输出。研究结果表明，多维关联规则方法可以发现隐藏在外生警源数据中的规律，通过对挖掘出的规则集的归纳分析，得出区域能源安全外生警源爆发时具有衍生性、季节性、危害性和持续性等共性特征。

Analysis on implicit characteristics of regional energy security exogenous source based on multi-dimensional association rule

According to the problem of frequent occurrence of regional energy events in our country, this paper made a deep study on the implicit characteristics of regional energy security exogenous source. This research constructed the attribute set and data set of regional energy security exogenous source through extracting different cases, and in the light of the data set features, designed a multi-dimensional association rule mining model on regional energy security exogenous source. Based on the idea of multi-dimensional attribute fusion, the model firstly mapped the multi-dimensional attributes to one dimension by dividing the attributes into items, and then mined the rules with the basic principle of Apriori algorithm. On the basis, this paper used the designed model to analyze the implicit characteristics of the regional energy security exogenous source, which made a research on the relationship between these attributes in order to output the strong association rules. The research results show that multi-dimensional association rule model can find the implicit characteristics of the regional energy security exogenous source, which have derivative, seasonality, harmfulness and durability.