基于物联网边缘计算的数据挖掘方法研究

Research on data mining method based on IoT edge computing

为充分发挥物联网边缘计算优势,减少数据挖掘处理时延,有必要对数据挖掘方法进行深度研究。文章以优化数据挖掘方法为目标,应用损失函数、分支网络模型、线性回归模型构建了基于物联网边缘计算的数据挖掘方法,通过仿真优化,进一步提高了系统表现精度,并验证了该数据挖掘方法的可行性。

In order to give full play to the advantages of IoT edge computing and reduce the processing delay of data mining, it is necessary to conduct in-depth research on data mining methods. In this paper, aiming at optimizing the data mining method, the loss function, branch network model and linear regression model are used to construct a data mining method based on IoT edge computing. Through simulation optimization, the performance accuracy of the system is further improved, and the data mining method is verified. feasibility.