Teaching / [FEB53016] Topics in Business Intelligence (2013)
This is the course page for Topics in Business Intelligence (Computer Science minor), academic year 2013-14, block 1.
Lecture slides
- #1 (Introduction to BI and case study)
- #2 (Data reduction)
- #3 (Model validation)
- #4 (Case study comparison and feedback)
Student lecture slides
Will be posted here.Project work
The project work will be made with RapidMiner. Links to resources for course work are:- RapidMiner download page
- Video tutorials for RapidMiner. Mind the german accent.
- Case study data set
| Group | |||
| All | #1 | #2 | |
| k-NN and Naive Bayes | #1 | #2 | #3 |
| Classification trees | #1 | #2 | #3 |
| Logistic regression | #1 | #2 | |
| Neural networks | #1 | #2 |
And the link to my ancient neural network image compression demo applet can be found /here/.