移动网络用户行为挖掘模型及在E-Learning系统中的应用  

Mobile network user behavior mining model and its application in E-Learning system

作　　者：王玲[1] 

机构地区：[1]贵州财经大学继续教育学院,贵州贵阳550003

出　　处：《现代电子技术》2016年第24期83-87,共5页Modern Electronics Technique

基　　金：国家自然科学基金面上项目(20986184)

摘　　要：通过对移动用户的行为挖掘模型构建,并应用在E-Learning网络学习移动中,实现E-Learning系统的优化设计。提出一种基于频繁项集关联规则分析的移动网络用户行为挖掘模型,结合嵌入式Linux进行E-Learning系统的开发设计。进行E-Learning系统的总体设计描述,开启SQL驱动支持来编译基于ARM平台的QWT库,构建Tiny OS的通信机制,实现无线消息包组的传输。软件开发主要包括移动网络用户节点程序设计、节点程序开发、上位机通信。在嵌入式Linux系统下的程序引导和软件的移植实现了对移动网络用户行为模型挖掘和E-Learning系统的软件开发设计。实验结果表明,该移动网络用户行为挖掘模型具有较好的数据挖掘性能,系统优化设计提高了E-Learning系统对移动网络用户的服务质量,展示了较好的应用价值。The optimization design of the E-Learning system was realized by the mobile user＇s behavior mining model construction and application in the E-Learning network learning movement. A mobile network user＇s behavior mining model based on association rules of frequent item sets is proposed. The development and design of E-Learning system is conducted based on embedded Linux. The overall design of the E-Learning system is described. The QWT library based on ARM platform is compiled by opening SQL driver support. The TinyOS communication mechanism is constructed to realize the wireless message trans- mission packet group. The software development mainly includes the mobile network user node program design, node program development and PC communication. The mobile network user behavior model mining and E-Learning system software development and design were implmented by means of the program guide and software porting in the embedded Linux system. The experimental results show that the mobile network user behavior mining model has good data mining performance, and system optimization design improves the service quality of E-Learning system for mobile network users, It has the good application value.

关 键 词：移动网络用户 行为挖掘 E-LEARNING系统 优化设计 

分 类 号：TN926.34[电子电信—通信与信息系统] TP393[电子电信—信息与通信工程]