Apriori算法改进及其在高校网络教学平台的应用

Improvement of Apriori Algorithm and Its Application on Network Teaching Platforms in College

高校网络教学平台大多存在在线课程繁多但组织随意,课程链接排列不合理且缺乏有效依据的问题。根据学习者在网络教学平台的课程访问日志,针对Apriori算法的缺陷和不足,提出改进的关联规则算法,并运用该算法,挖掘学习者频繁访问的在线课程页面集合,即获取学习者对于在线课程间的关联需求,以此作为支撑和依据,对网络教学平台的在线课程进行重组以及在关联的课程间增加链接,可极大优化网站结构,提高网络教学平台的用户体验及网站流量。

There are problems existing in most of the network teaching platforms in colleges and universities such as too many online courses with random organization,unreasonable course links and lack of effective basis.According to the learner’s course access log in the network teaching platform,an improved association rule algorithm is proposed to make up for the defects and deficiencies of Apriori algorithm,and the algorithm is used to mine the online course page collection frequently accessed by learners,that is,to obtain learners for online courses.The inter-related needs,as a support and basis,the reorganization of online courses of the network teaching platform and the addition of links between related courses can greatly optimize the structure of the website and improve the user experience and the website traffic.