现代电子技术2016，Vol.39Issue(24)：83-87,5.DOI:10.16652/j.issn.1004-373x.2016.24.020
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
摘要
Abstract
The optimization design of the E⁃Learning system was realized by the mobile user′s behavior mining model con⁃struction 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 com⁃piled 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 develop⁃ment and design were implemented by means of the program guide and software porting in the embedded Linux system. The ex⁃perimental results show that the mobile network user behavior mining model has good data mining performance,and system opti⁃mization 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Key words
mobile network user/behavior mining/E-Learning system/optimization design分类
信息技术与安全科学引用本文复制引用
王玲..移动网络用户行为挖掘模型及在E-Learning系统中的应用[J].现代电子技术,2016,39(24):83-87,5.基金项目
国家自然科学基金面上项目 （）
