Application of Feature Selection Methods in Educational Data Mining

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Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
In the recent years, web based learning has emerged as a new field of research due to growth of network and communication technology. These learning systems generate a large volume of student data. Data mining algorithms may be applied on this data set to study interesting patterns. As an example, students enrollment data and their past examination records could be used to predict their grades in the term end examination. However, this prediction could mean examining a lot of features of the student data resulting in creation of a model with high computational complexity.
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