General Information
SSD: ING-INF/05
Hours: 20
Professor: Eliana Pastor, Danilo Giordano
Announcements
- 19-11-23: The lecture schedule is now available.
Lectures
| Date – Classroom | Topic |
| Fri, 1 Dec 2023, 10:00-11:30 Classroom 10C e 11:30-13:00 Classroom 7S | Introduction to the course, data mining pipeline, and preprocessing. |
| Thu, 5 Dec 2023, 14:30-17:30 – C Room | Association Rules: Introduction, algorithms, and performance metrics. |
| Wed, 6 Dec 2023, 13:00-16:00 – Classroom 15 | Classification: Introduction and algorithms. |
| Mon, 11 Dec 2023, 11:30-14:30 – Classroom 13A | Classification: Algorithms, Validation, and performance metrics. |
| Tue, 12 Dec 2023, 14:00-17:00 – C Room * | Clustering: Introduction, algorithms, and performance metrics. |
| Mon, 18 Dec 2023, 11:30-14:30 – Classroom 13A | Seminar on Big Data and advanced machine learning techniques based on Deep Learning. |
| Tue, 30 January, 2024 – 14:30-16:30 LABINF | Hands-on data 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
Exam
- Dataset Assignments
- Datasets: users
- Exam Assignment: docx
- Results: pdf