基于用户感知校园网络质量优劣的大数据挖掘方法探索  

Exploration of Big Data Mining Methods Based on User Perceived Campus Network Quality Advantages and Disadvantages

作　　者：杨玉杰[1] 王超[1] 张颖[1] 安洪勇[1] YANG Yujie;WANG Chao;ZHANG Ying;AN Hongyong(Liaocheng University,Liaocheng Shandong 252059,China)

机构地区：[1]聊城大学,山东聊城252059

出　　处：《信息与电脑》2024年第23期122-124,共3页Information & Computer

摘　　要：在信息化的背景下,校园网络已经成为学生学习的一种方式,但网络质量的优劣直接影响用户的体验。本研究将深入探索基于用户感知校园网络质量优劣的大数据挖掘方法,利用大数据挖掘技术对校园网络质量进行研究,为校园网络质量提供有力的技术支持以及有效的依据。In the context of informatization,campus networks have become a way for students to learn,but the quality of the network directly affects the user experience.This study will delve into big data mining methods based on user perception of the quality of campus networks,using big data mining techniques to study the quality of campus networks,providing strong technical support and effective basis for campus network quality.

关 键 词：大数据 用户感知 校园网络 

分 类 号：G270.7[文化科学—档案学]