An Investigation on Currents Works of Hybrid Data Mining Techniques in Predicting Student Performance

カテゴリ: 国際会議

論文No: PS-10

グループ名: ACIS2015

発行日: 2015/10/15

著者名(英語): Amirah Mohamed Shahiri (Universiti Sains Malaysia),Wahidah Husain(Universiti Sains Malaysia), Nur’Aini Abdul Rashid(Universiti Sains Malaysia)

キーワード: Student performance, Educational\ndata mining, Performance prediction

要約(英語): Predicting student performance becomes more challenging due to the large volume of data in educational database. Currently in Malaysia there are still lack of effective tools to analyze and monitor the student progress and performance. Our aim in this study is to identify hybrid data mining techniques to mine patterns of student data.

原稿種別: 英語

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