基于改进的Apriori算法在网络教学平台中频繁访问路径研究  

Research on frequent access paths in network teaching platform based on improved Apriori algorithm

作　　者：张珏 Zhang Jue(The Second Secondary Specialized Schools in Kunshan,Jiangsu Province,Kunshan 215300,China;Kunshan Open University,Kunshan 215300,China)

机构地区：[1]江苏省昆山第二中等专业学校,江苏昆山215300 [2]昆山开放大学,江苏昆山215300

出　　处：《无线互联科技》2018年第20期144-146,共3页Wireless Internet Technology

摘　　要：为了分析网络教学平台学习者操作路径,文章采用改进的Apriori算法对网络教学平台学习者频繁访问路径的分析,反馈平台的教学效果。Apriori算法是一种用于关联规则挖掘的代表性算法,是数据挖掘中的一个非常重要的研究方向。将改进后的Apriori算法应用到网络教学平台的频繁访问路径当中进行数据挖掘测试,通过与传统Apriori算法进行对比,改进后的Apriori算法可以得到求满足最小支持度的所有频繁路径的算法,效果明显地改进,并将结果反馈给网络教学平台用户。In order to analyze the learner’s behavior path of the network teaching platform,the improved Apriori algorithm is used to study the frequent access path of the learners,and the teaching effect of the platform is fed back.Apriori algorithm is a representative algorithm for mining association rules,and is a very important research direction in data mining.The improved Apriori algorithm is applied to the data mining test in the frequent access path of the network teaching platform.By comparing with the traditional Apriori algorithm,the improved Apriori algorithm can get all the algorithms that meet the minimum support degree for all the frequent paths,and the results are improved clearly,and the results are fed back to the network teaching platform users.

关 键 词：关联规则 APRIORI算法 频繁访问路径 教学平台 

分 类 号：G434[文化科学—教育学] TP311.13[文化科学—教育技术学]