Application of Semi-Supervised Learning to Graduate Adjusting
半监督学习在研究生调剂中的应用

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...