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作 者:王淑强 WANG Shu-qiang(Wuling Power Corporation LTD,Changsha 410000 China)
出 处:《自动化技术与应用》2023年第1期89-92,共4页Techniques of Automation and Applications
摘 要:当前方法对电力营销数据进行去重管理时,重复数据检测准确率、去重率低,因此提出基于信息系统的电力营销数据去重管理方法。构建电力营销信息系统,采用营销时空特征数据云模型中存在的映射规则对电力营销数据进行降维处理。对降维处理后的电力营销数据进行聚类分析,并获得对应的包装器,识别有效电力营销数据,通过相似度函数判断电力营销数据是否重复,实现电力营销数据的去重管理。实验结果表明,本文方法的重复数据检测准确率高、去重率高,说明本文方法的去重效果较好。When the current method is used to de duplicate the electric power marketing data, it leads to the low detection accuracy and de duplication rate of the method. Therefore, an information system based de duplication management method for power marketing data is proposed. The power marketing information system is constructed, and the mapping rules existing in the marketing spatiotemporal characteristic data cloud model are used to reduce the dimension of power marketing data. Cluster analysis is carried out on the power marketing data after dimension reduction processing, and the corresponding wrapper is obtained to identify the effective power marketing data. The similarity function is used to judge whether the power marketing data is repeated or not, so as to realize the de duplication management of power marketing data. The experimental results show that the proposed method has high accuracy and high de duplication rate, which indicates that the proposed method has good de duplication effect.
分 类 号:TP392[自动化与计算机技术—计算机应用技术]
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