摘要
为解决传统挖掘方法进行数据挖掘时,存在规定时间范围内数据挖掘量少,导致挖掘效率不高的问题,提出Apriori算法在无线网络数据智能挖掘中的应用研究。通过数据挖掘关联规则设计、基于Apriori算法的无线网络数据文本分类和无线网络数据离群点智能过滤,实现无线网络数据智能挖掘。通过实验证明,所提挖掘方法与传统方法相比挖掘效率得到明显提升。
In order to solve the problem that the amount of data mining in the specified time range is small when the traditional mining method is used for data mining,which leads to low mining efficiency,this paper proposes the application research of Apriori algorithm in wireless network data intelligent mining.Through the design of data mining association rules,using text classification of wireless network data based on Apriori algorithm and intelligent filtering of wireless network data outliers,intelligent mining of wireless network data is realized.Experiments show that the mining efficiency of the proposed method is significantly improved compared with the traditional method.
作者
刘云萍
LIU Yunping(Computer Engineering Departrment,Taiyuan Institute of Technology,Taiyuan 030008,China)
出处
《智能计算机与应用》
2021年第3期113-114,共2页
Intelligent Computer and Applications
基金
太原工业学院教研项目(JG201906)
