Teaching / [FEB53016] Topics in Business Intelligence (2011)
This is the course page for Topics in Business Intelligence (Computer Science minor), academic year 2011-12, block 1.
Lecture slides
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 |
The group division is:
People | Topic | Week |
Yiwei et al | k-NN and Naive Bayes | 4 |
Stamenova et al | Classification trees | 5 |
Zaghainov et al | Neural nets | 6 |
Merkle et al | Logistic regression | 7 |
And the link to my ancient neural network image compression demo applet can be found /here/.