General Information
SSD: ING-INF/05
Hours: 20
Professor: Danilo Giordano
Announcements
- 20-12-22: The lecture schedule is now available.
- 26-01-23: Update the lecture schedule.
- 30-01-23: Exam report, RapidMiner tutorial, and dataset assignment available. [NEW!]
Lectures
| Date – Classroom | Topic |
| Mon, 9 Jan 2023, 11:30-14:30 – Classroom 8D | Introduction to the course, data mining pipeline and preprocessing. |
| Thu, 12 Jan 2023, 16:00-19:00 – Classroom 4C | Association Rules: Introduction, algorithms, and performance metrics. |
| Thu, 19 Jan 2023, 10:00-13:00 – Classroom 15 | Clustering: Introduction, algorithms, and performance metrics. |
| Thu, 26 Jan 2023, 10:00-13:0 – Classroom 15 | Classification: Introduction and algorithms. |
| Mon, 30 Jan 2023, 10:00-13:00 – Classroom 7 | Classification: Algorithms, Validation, and performance metrics. |
| Tue, 31 Jan 2023, 9:00-11:00 – LABINF | Hands-on data and exam. |
| Thu, 2 Feb 2023, 10:00-13:00 – 12D | Seminar on Big Data and advanced machine learning techniques based on Deep Learning. |
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
Exam Material
- Report Structure: report
- Dataset Assignment: assignment