摘要
分析了贝叶斯分类算法在雾霾天气数据挖掘中的应用,阐述了数据挖掘的四个过程及朴素贝叶斯分类算法的步骤,提出了算法的分类预测流程,最后选取我国2014年的雾霾天气监测数据,对提出的数据挖掘算法进行验证。实验结果表明:该算法的精确度较高。
This paper analyzes the Bayesian classification algorithm in fog and haze data mining, describing the four steps of the process of data mining and Naive Bayesian classification algorithm proposed classification algorithm forecasting process, and finally select the year of 2014 fog and haze monitoring data of China for thedata mining algorithms proposed for validation. The results show that: the higher the accuracy of the algorithm.
出处
《自动化与仪器仪表》
2015年第12期12-13,共2页
Automation & Instrumentation
关键词
数据挖掘技术
雾霾天气
贝叶斯分类算法
Data mining technology
Fog and haze
Bayesian classification algorithm
