數(shù)據(jù)挖掘技術在高職招生中的應用-畢業(yè)論文

1、數(shù)據(jù)挖掘技術在高職招生中的應用數(shù)據(jù)挖掘技術在高職招生中的應用目錄目錄摘要...................................................................................................................................................3ABSTRACT............................

2、.....................................................................................................................4一、導論..................................................................................................

3、........................................5（一）研究背景及研究意義...............................................................................................5（二）研究的主要內容及方法..........................................................

4、................................5二、數(shù)據(jù)挖掘概念與技術...............................................................................................................6（一）數(shù)據(jù)挖掘的概念......................................................

5、..................................................6（二）數(shù)據(jù)挖掘方法與技術...............................................................................................7三、決策樹模型及算法...................................................

6、................................................................7（一）決策樹模型.................................................................................................................7（二）C4.5算法........................

7、............................................................................................8四、決策樹分類算法在高職院校招生中的應用....................................................................10（一）確定數(shù)據(jù)挖掘對象，進行數(shù)據(jù)采集及預處理...............

8、................................10（二）決策樹模型構建......................................................................................................11（三）分類規(guī)則的提取及預測分析.........................................................

9、......................13五、數(shù)據(jù)挖掘工作成果總結........................................................................................................14結束語...........................................................................

10、....................................................................15致謝...............................................................................................................................................16參考文

11、獻........................................................................................................................................173AbstractAbstractWiththerapiddevelopmentofhighereducationinstitutionsofhigherlear

12、ninghavesprungupespeciallythesharpincreaseinthenumberofvocationalcollegesposeseriouschallengestotheenrollmentofhighervocationalcolleges.Manyvocationalcollegesadmissionscostsappearlargerecruitstudentsstudentsdonotreptsuch

13、problems.ThispaperusesdataminingtechniquesC4.5decisiontreeclassificationalgithmavocationalenrollmentinfmationfanalysistheestablishmentofasuitablevocationalcollegesadmissionsdataminingmodels.Thenusethemodeltopredictgetmea