数据挖掘技术在网络质量优化体系中的应用

Data mining technology application in network quality optimization system

网络质量优化是一项庞大的系统工程,单纯的靠人工统计和网优工程师个人经验优化的模式无疑存在效率过低和人为经验差异而导致优化效果不理想的问题。大量关于网络优化的新技术研究正在不断地深入进行中,网络优化技术结合日益发展的人工智能、数据挖掘技术将是未来的发展趋势。本文结合人工智能和数据挖掘理论的发展,重点探讨在海量、多维的数据中构造无线网络场景模型的新方法,从而指导参数的精细化调整,帮助网络部门更加准确的定位网络问题并制定网络优化方案。

Network quality optimization is a huge systematic project, which has the problem of low efficiency if only based on simply statistics and personal experience, lots of research on the new technology about network optimization are constantly deepening, network optimization technology combined with the increasing development of artificial intelligence, data mining techniques will be the future trend. The new method to construct wireless network scene model through the multidimensional data structure will be discussed here, that will help network better network optimization scheme. department locate the network problems and prepare a