All the material is licensed under Creative Commons Attribution 3.0 Unported (CC-BY 3.0) and you are free to use it under that license.
Please note that the on-line activities that are part of the course are only available when the course is running and are not included below.
| Class | ||
| Trailer | en | |
| 1 | Exploring Weka's interfaces, and working with big data | en |
| 2 | Discretization and text classification | en |
| 3 | Classification rules, association rules, and clustering | en |
| 4 | Selecting attributes and counting the cost | en |
| 5 | Neural networks, learning curves, and performance optimization | en |
MP4 videos in zip files.
| Class | YouTube | Youku | ||
| Trailer | en | en zh | ||
| 1 | Exploring Weka's interfaces, and working with big data | en | Class1.zip | |
| 2 | Exploring the Experimenter | en | Class2.zip | |
| 3 | Classification rules, association rules, and clustering | en | Class3.zip | |
| 4 | Selecting attributes and counting the cost | en | Class4.zip | |
| 5 | Neural networks, learning curves, and performance optimization | en | Class5.zip | |
| Class | ||
| All classes - English (zip) | transcripts-MDMwW-2014.zip | |
Data Mining with Weka is brought to you by the Department of Computer Science at the University of Waikato, New Zealand.