Extracting more meaning from CAA results using machine learning
This work describes a novel approach to the problem of extracting knowledge from the results obtained via a CAA system by adopting a Machine Learning paradigm. The basic idea guiding our research was to investigate the existence of association rules among the topics covered in a course. The data use...
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| Main Authors: | , |
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| Format: | Default Conference proceeding |
| Published: |
2002
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/1892 |
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