With　the　purpose　of　extracting　potential　knowledge　from　the　vast　amounts　of　data,　as　well　as　providing　auxiliary　information　for　decision　making　for　college　admissions　departments,　in　this　paper,　based　on　SPSS　12.0　software　clementine,　it　mainly　uses　C5.0　decision　tree　algorithm　and　association　rules　Apriori　algorithm　to　study　the　college　entrance　examination　enrollment　data,　students＇　performance　in　college　and　employment　data.　It　mainly　focuses　on　the　data　preparation　process,　and　shows　the　mining　process　aimed　at　two　different　goals　and　the　valuable　information　dug　out　during　these　processes.　The　results　of　study　shows　that　this　kind　of　information　can　provide　decision　making　for　the　department　in　charge　of　admissions.