%0 Journal Article
%T Interestingness Measure and Its Application in Learning Guidance System Based on Association Rules<br>兴趣度在基于关联分析的选课指导系统中的研究与应用
%A QU Shou-ning
%A XU De-jun
%A WU Tong
%A WANG Qin
%A <br>曲守宁
%A 徐德军
%A 吴同
%A 王钦
%J 计算机应用研究
%D 2007
%I 
%X Data mining technologies is introduced briefly.By analyzing the application of classic Apriori algorithm in Learning Guidance System(LGS),Apriori algorithm's limitation that not suit for LGS is found out,and then Apriori alorithm by introducing interestingness measure threshold to it is improved.Experiment results proved that the improved algorithm can decrease the amount of useless rules and improve the performance of the LGS,and can provide effective assistant method for student class sellection.
%K Data Mining
%K Association Rules
%K Interestingness Measure
%K Learning Guidance<br>数据挖掘
%K 关联规则
%K 兴趣度
%K 选课指导
%K 兴趣度
%K 关联分析
%K 学生选课
%K 指导系统
%K 研究
%K 应用分析
%K Association
%K Rules
%K Based
%K Guidance
%K System
%K Learning
%K Application
%K Measure
%K 方法
%K 理论
%K 辅助决策
%K 经典算法
%K 系统缺陷
%K 精度
%K 挖掘技术
%K 规则
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=343459AF1736CA69FC85A788F4EBA5FC&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=0B39A22176CE99FB&sid=28F9D9CF04F424FF&eid=FBA00558C57D9C11&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=7