General Information
SSD: ING-INF/05
Hourds: 20
Professor: Danilo Giordano
Announcements
- 17-11-21: The lecture schedule will be avaiable in December.
- 23-12-21: The lecture schedule in now avaiable.
- 05-01-21: The lectures will be held only remotely during the week of January 10-15, 2022. For the following weeks updates will be avaiable as soon as possible.
Lectures
| Date – Classroom | Topic |
| Mon, 10 Jan 2022, 14:30-17:30 – | Introduction to the course, data mining pipeline and preprocessing. |
| Thu, 13 Jan 2022, 14:30-17:30 – | Association Rules: Introduction, algorithms and performance metrics. |
| Thu, 20 Jan 2022, 14:30-17:30 – Classroom 7B. | Classification: Introduction and algorithms. |
| Mon, 24 Jan 2022, 14:30-17:30 – Classroom 7B. | Classification: Algorithms, Validation and performance metrics. |
| Thu, 27 Jan 2022, 14:30-17:30 – Classroom 7B. | Clustering: Introduction, algorithms, and performance metrics. |
| Mon, 31 Jan 2022, 14:30-16:30 – Classroom 19A. | Seminar on Big Data and advanced machine learning techniques based on Deep Learning. |
| Thu, Feb 03 2022, 14:30-16:30 – LABINF. | Hands-on data with RapidMiner and exam. |
Teaching Material
- Course Introduction (1 slides per page)
- Data mining: Introduction (6 slides per page,2 slides per page)
- Data mining: Preprocessing (6 slides per page,2 slides per page)
- Summary Lecture 1 (Summary Lecture 1)
- Association Rules (6 slides per page,2 slides per page)
- Summary Lecture 2 (Summary Lecture 2)
- Classification (6 slides per page, 2 slides per page)
- Summary Lecture 3 (Summary Lecture 3)
- Summary Lecture 4 (Summary Lecture 4)
- Clustering (6 slides per page,2 slides per page)
- Introduction to Big Data (6 slides per page,2 slides per page)
- Introduction to Advanced Machine Learning techniques (6 slides per page, 2 slides per page)
Laboratory Material
- Data mining – Practice Text (new)
- Dataset: users