Length: 10 hours - 2 cfu
Abstract:
1. Understand and discuss key Process Mining techniques, including their strengths and limitations.
2. Use Machine Learning methods together with Process Mining to analyze complex data.
3. Identify open problems and potential research directions in the field of Process Mining.
Dates & Venue
Giorni | Aula | Orario |
/02/26 | Lab. Laurea Magistrale - 5°floor - Via Celoria 18 - 20133 Milan | 00:00 - 00:00 |
/02/26 | Meeting Room - 5° floor - Via Celoria 18 - 20133 Milan | 00:00 - 00:00 |
/02/26 | Lab. Laurea Magistrale - 5° floor - Via Celoria 18 - 20133 Milan | 00:00 - 00:00 |
/02/26 | Meeting Room - 5° floor - Via Celoria 18 - 20133 Milan | 00:00 - 00:00 |
/02/26 | Lab. Laurea Magistrale, 5° floor - Via Celoria 18 - 20133 Milan | 00:00 - 00:00 |
Suggested Readings:
Lecturer:
Prof. Paolo Ceravolo - Dipartimento di Informatica
Assessor:
Prof. Paolo Ceravolo - Dipartimento di Informatica