摘要
阐述机器学习算法,采用聚类算法对零售户进行标签化分组,形成完善的终端数据质量智能监控识别模型,解决海量终端数据无法分析挖掘的难点,通过样本的智能合理选取和数据分析,提升终端使用的质量。
This paper describes machine learning algorithms that use clustering algorithms to label and group retail households,forming a comprehensive intelligent monitoring and recognition model for terminal data quality.It solves the difficulty of analyzing and mining massive terminal data,and improves the quality of terminal use through intelligent and reasonable sample selection and data analysis.
作者
刘倩
LIU Qian(Hainan Hongta Cigarette Co.,Ltd.,Hainan 570100,China)
出处
《集成电路应用》
2023年第4期294-296,共3页
Application of IC
关键词
终端监测
聚类算法
模型创建
数据分析
terminal monitoring
clustering algorithm
model creation
data analysis
