期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2015
卷号：7
期号：5
页码：131
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The ability to recognize students’ weakness and solving any problem may confront them in timely fashion isalways a target of all educational institutions. This study was designed to explore how can predictive andstatistical analysis support the academic advisor’s work mainly in analysis students’ progress. The sampleconsisted of a total of 249 undergraduate students; 46% of them were Female and 54% Male. A one-wayanalysis of variance (ANOVA) and t-test were conducted to analysis if there was different behaviour inregistering courses. Predictive data mining is used for support advisor in decision making. Severalclassification techniques with 10-fold Cross-validation were applied. Among of them, C4.5 constitutes thebest agreement among the finding results.
关键词：Academic Advisory; Predictive and Statistical Analyses; Data Mining; C4.5; K-nearest Neighbour; Naïve;Bayes Classifier.
