连续数据关联规则挖掘在电能替代中的应用

Application of continuous data association rule mining in the electric energy substitution

针对传统关联规则挖掘在处理连续数据上的缺陷,文中提出了基于tanh隶属度函数和Apriori方法的连续数据关联规制挖掘方法,并将该方法应用于电能替代的数据分析中,整理出指导电能替代政策的相关结论。文中提出的连续数据关联规则方法能够应用于涉及多能源产品的数据分析,其数据分析结果对电能替代政策的推行也有很好的参考价值。

To solve the shortcomings of traditional association rule mining when used to deal with conti-nuous data,a continuous data association rule mining method based on tanh membership function and Apriori method is proposed.Finally,the method is applied to data analysis of electric energy substitution and concludes some useful conclusions.The method proposed in this paper can be used to analyze mult-iple energy data,and the obtained conclusions can help the implementation of electricity substitution.