學生缺曠行為與學生的學習態度有正相關的關係，缺曠行為的結果可作為學生學習態度的佐證，供任教教師參考；過度的缺曠行為不僅對學生本身造成影響，也會在操行成績上留下考核紀錄，進而有定期查看及退學等之結果產生，為幫助學生學習、及早發現問題、遂有本研究之產生。經運用資料挖掘技術挖掘學生缺曠資料庫所發現的結果，將隱藏於資料間的訊息傳遞出來供輔導人員參考運用，是為本研究之最終目的。

Students’ absences in attending classes have positive relations with their learning attitudes. Records of individual student’s absence in attending classes can be viewed as evidences of learning attitudes serving as reference for teachers. Exceeding absence would not only affect individual students, but also leave records on the evaluations of their moral conducts. The results happening to those students would be in terms of under observation or Kicking out of school. Early awareness of the problems results in the fundamental of the study, which uses data mining technology to discover database of individual student’s absence records. The aim of this study is to deliver message hidden in the database so as to provide counselors with practical reference.