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
周旎1
作者信息
- 1. 国网宁夏电力有限公司中卫供电公司,宁夏 755000
- 折叠
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.
Abstract
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Key words
big data technology/data extraction/mining methods/association/inspection data/power marketing引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据