基于大数据技术的电力稽查数据关联挖掘方法分析  

Analysis of Data Association Mining Method for Electric Power Inspection Based on Big Data Technology

作　　者：周旎 ZHOU Ni(State Grid Ningxia Electric Power Co.,Ltd.Zhongwei Power Supply Company,Ningxia 755000,China)

机构地区：[1]国网宁夏电力有限公司中卫供电公司,宁夏755000

出　　处：《集成电路应用》2024年第1期368-370,共3页Application of IC

摘　　要：阐述大数据技术的特点,采用电力营销稽查数据采集、数据抽取与清洗处理、数据质心收敛与关联挖掘,探讨稽查数据关联挖掘方法的设计。结果表明,对电力营销稽查数据的关联挖掘,可以提高挖掘后数据与预设规则的关联度。This paper describes the characteristics of big data technology,using data collection,data extraction and cleaning processing,data centroid convergence and association mining for power marketing inspection,and explores the design of association mining methods for inspection data.The results indicate that association mining of electricity marketing inspection data can improve the correlation between the mined data and preset rules.

关 键 词：大数据技术 数据抽取 挖掘方法 关联 稽查数据 电力营销 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]