- Access this content at: https://github.com/w4bo/2025-bbs-dm
- Matteo Francia, Ph.D. in Computer Science and Engineering (m.francia [at] unibo.it)
- Enrico Gallinucci, Ph.D. in Computer Science and Engineering (enrico.gallinucci [at] unibo.it)
This course is the natural continuation of the Machine Learning course. It provides the guidelines for the execution of a Data Mining process and then discusses, with practical examples, the complete pipeline from data to machine learning insights.
Teaching Method(s): The theoretical background and the discussion of the principles are introduced in class with presentation of slides and stimulating discussions with the students. The methods are then applied with lab exercises.
| When | Who | What |
|---|---|---|
| Day 1 (02/04/2025) 14:30 - 18:30 | Matteo Francia | Hands-on data mining and machine learning |
| Day 2 (09/04/2025) 14:30 – 18:00 | Matteo Francia | Hands-on data mining and machine learning (lab) |
| Day 3 (16/04/2025) 14:30 – 18:30 | Enrico Gallinucci | Hands-on Spark and OLAP |
| Day 4 (22/04/2025) 09:30 – 13:00 | Enrico Gallinucci | Hands-on Spark and OLAP (lab) |
| Day 5 (08/05/2025) 14:30 – 16:30 | Enrico Gallinucci | Final exam |
The remaining slides are uploaded into this repository (see the slides/ fodler)
- The lectures are mainly based on Colab notebooks, you simply need a Google account (no additional software should be installed for Python and its ecosystem).