ECTI TRANSACTIONS ON COMPUTER INFORMATION TECHNOLOGYVolume 12, No. 02, Month NOVEMBER, Year 2018, Pages 118 - 129
Synthetic minority over-sampling for improving imbalanced data in educational web usage mining
Wacharawan Intayoad, Chayapol Kamyod, Punnarumol Temdee
Abstract Download PDFEducational data mining is the method for extracting and discovering new knowledge from education data. As education data is often complex and imbalanced, it requires a data preprocessing step or learning algorithms in order to obtain accurate analysis and interpretation. Many studies emphasize on classification and clustering methods in order to get insight and comprehensive knowledge from education data. However, a small number of previous
works exclusively focused on the preprocessing of education data, particularly on the topic of the imbalanced dataset. Therefore, this research objective is to enhance the accuracy of data classification in educational web usage data.Etc...
Education Data Mining, Imbalanced Data, Web Usage Mining