基于Apriori关联算法的电力运行大数据关联分析方法研究

Research on Big Data Correlation Analysis Method of Power Operation Based on Apriori Correlation Algorithm

针对典型关联分析求解特征空间的高度复杂性,以及大规模数据的关联分析处理存在计算量复杂、内存占用高等难题,提出基于Apriori关联算法的电力运行大数据关联分析方法研究。对基于Apriori关联算法的电力运行大数据关联分析方法进行设计,包括基于Apriori关联算法建立关联分析算法、基于已经建立的算法建立电力运行大数据关联分析模型、实现电力运行大数据关联分析。为验证所设计的方法的有效性,将文中方法与传统的电力运行大数据关联分析方法和基于云计算的电力运行大数据关联分析方法进行对比研究,最后得出所设计的基于Apriori关联算法的电力运行大数据关联分析方法较为有效。

To solve the high complexity of feature space in typical correlation analysis and the problems of correlation analysis of large-scale data with complex calculation and high memory occupation,the big data correlation analysis method of power operation based on Apriori correlation algorithm is proposed.First of the power running big data association analysis method based on Apriori association algorithm design,including based on Apriori association analysis algorithm,power running big data association analysis model based on established algorithm,finally realize power running big data association analysis.To verify the effectiveness of the designed method,the method based on Apriori correlation algorithm power running big data correlation analysis method and traditional power running big data correlation analysis method,and based on cloud computing power running big data correlation analysis method for comparative study,it is concluded that the design of power running based on Apriori correlation algorithm of big data correlation analysis method is more effective.