%0 Journal Article
%T Application of Semi-Supervised Learning to Graduate Adjusting<br>半监督学习在研究生调剂中的应用
%A HUANG Shu-Cheng
%A QU Ya-Hui
%A <br>黄树成
%A 曲亚辉
%J 计算机系统应用
%D 2011
%I 
%X Graduate Adjusting is an important step for Graduate Admission.The traditional adjusting methods which are all manual,make it very hard for students to choose a proper school from a huge number of data.This paper proposes a data-mining method based on semi-supervised study.Using the association rules,which are extracted from the labeled training samples,as supervised information,and combining with the K-mean algorithm in non-supervised study method,this paper elaborates on the semi-supervised study algorith...
%K semi-supervised learning
%K K-mean algorithm
%K association rules
%K clustering<br>半监督学习
%K K-mean算法
%K 关联规则
%K 聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=05EC82FDAB8350764EDAE4A0909BE73E&yid=9377ED8094509821&vid=A04140E723CB732E&iid=E158A972A605785F&sid=B62E0EEFE746E568&eid=6FBD78E3BAB60869&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=9