摘要
分析了关联规则传统挖掘方法在应答型数据应用领域中的不足,定义出应答试题与应答者的信息量度量策略,在此基础上提出一种新的基于信息量的关联规则挖掘算法.
Weakness of evaluating response-type data with traditional association rule mining techniques is pointed out,and a novel strategy to quantify information of test items and subjects is proposed,on this base,a new association rule mining algorithm based on information is presented for better evaluation of response-type data.
出处
《福建师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2010年第6期44-48,共5页
Journal of Fujian Normal University：Natural Science Edition
基金
福建省教育厅资助项目(JA10076)
关键词
数据挖掘
关联规则
应答型数据
data mining
association rule
evaluation of test items
