摘要
为了解决传统信息挖掘系统存在的响应速度慢的问题,采用加快系统响应速度的方式,针对数字图书馆个性化服务行为信息挖掘系统的架构、硬件以及软件等部分进行设计,并针对该系统进行仿真测试,测试结果表明,传统信息挖掘系统平均响应时间为3.23 s,该文信息挖掘系统平均响应时间为0.8 s,加快了对于系统的响应速度,可为高校教育事业的发展带来良好的技术监督手段。
In order to solve the deficiency of traditional information mining system response speed is slow,with the method of system response speed,in view of the digital library personalized service behavior information mining system architecture,hardware and software parts design,and carried out simulation test for the system,the test results show that the traditional information mining system average response time of 3.23 s,the average response time of the information mining system studied in this paper is 0.8 s,which can accelerate the response speed of the system and create a good means of technical supervision for the future development of university education.
作者
李火苗
LI Huomiao(Library of Shangluo University,Shangluo 726000,China)
出处
《电子设计工程》
2022年第22期184-187,193,共5页
Electronic Design Engineering
关键词
数字图书馆
个性化服务行为
信息挖掘系统
决策树算法
digital library
personalized service behavior
information mining system
decision tree algorithm
