Advances in Data Mining
2
Algorithms and machine learning
Advanced studies
Passing the course requires attendance on lectures, and a written home work by the end of May. Basic knowledge in data mining methods is assumed (e.g. course "Tiedon louhinnan menetelmät").
Lectures
| Time | Room | Lecturer | Date |
|---|---|---|---|
| Tue 12-14 | C222 | Bruno Cremilleux | 16.05.2006-18.05.2006 |
| Wed 12-14 | C222 | Bruno Cremilleux | 16.05.2006-18.05.2006 |
| Thu 12-14 | C222 | Bruno Cremilleux | 16.05.2006-18.05.2006 |
Passing the course requires attendance on lectures, and a written home work by the end of May. Basic knowledge in data mining methods is assumed (e.g. course "Tiedon louhinnan menetelmät" or "Special Course on Data Mining").
