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.