摘要
传统的数据库挖掘系统是基于粗略集合方法进行挖掘,该系统在面对庞大的数据量时,系统运行效率较差,为此设计基于聚类优化的大型网络数据库挖掘系统。搭建数据采集所需的传感器节点结构,选择CC3200作为主控芯片,在原有的电路中引入射频通信电路,实现数据的无线传输;在此基础上,对数据库中数据进行预处理,利用优化后的聚类算法和软件程序实现数据挖掘,至此系统设计完成。测试结果表明:与传统的数据库挖掘系统相比,基于聚类优化的大型网络数据库挖掘系统在处理庞大的数据量时,系统始终保持较高的运行效率,适合应用在大型网络数据库中。
As for the traditional database mining system based on the rough set method has poor efficiency of system operation when facing huge amount of data,large network database mining system based on clustering optimization is designed.The sensor node structure required for data collection is built,CC3200 is selected as the main control chip,and the RF communication circuit is introduced into the original circuit to realize the wireless transmission of data.On this basis,the data in the database is preprocessed,and data mining is realized by means of the optimized clustering algorithm and software program,so that the system design is completed.The testing results show that,in comparison with the traditional database mining system,the large network database mining system based on clustering optimization keeps high efficiency when dealing with large amount of data,which is suitable for application in large network database.
作者
姜姗
任靖娟
高志宇
JIANG Shan;REN Jingjuan;GAO Zhiyu(School of Information Technology,Henan University of Traditional Chinese Medicine,Zhengzhou 450000,China)
出处
《现代电子技术》
北大核心
2020年第6期175-177,182,共4页
Modern Electronics Technique
基金
河南省重点研发与推广专项科技攻关项目(14104660 2019)
2019年度河南省高等学校重点科研项目(19A520005)。
关键词
大型网络
数据库挖掘系统
聚类优化
数据传输
系统设计
仿真测试
large networks
database mining system
clustering optimization
data transmission
system design
simulation test
