Length : 15 hours
Aim and Scope
This course offers an introduction to Business Process Mining and outlines some relevant challenges that the research community is today facing.
Process Mining focuses on extracting knowledge from data generated and stored in corporate information systems in order to discover or analyze executed processes. Thanks to process mining algorithms data are analyzed to discover and characterize business processes model. It is then possible to check the conformance of each new process instance with the process model and detect failures or bottlenecks and optimize business processes.
Scheduling
The classes are scheduled in the following way:
- Business Process Intelligence
- Petri Nets: an introduction
- Process Mining
- Process Mining: exercises
- Advanced research goals in Process Mining
- Online Process Mining
Dates & Venue
| Giorni | Aula | Orario |
| 14/11/2017 | Aula 2Sud Via Bramante 65 Crema and connection via Skype Sala Lauree - Via Comelico 39 Milano | 10:00-12:30 |
| 14/11/2017 | Aula 2Sud Via Bramante 65 Crema and connection via Skype Auletta 5- Via Comelico 39 Milano | 14:00-16:30 |
| 15/11/2017 | Aula 2Sud Via Bramante 65 Crema and connection via Skype 1st Floor Meeting Room- Via Comelico 39 Milano | 10:00-12:30 |
| 15/11/2017 | Aula 2Sud Via Bramante 65 Crema and connection via Skype 1st Floor Meeting Room- Via Comelico 39 Milano | 14:00-16:30 |
| 16/11/2017 | Aula 2Sud Via Bramante 65 Crema and connection via Skype 1st Floor Meeting Room- Via Comelico 39 Milano | 10:00-12:30 |
| 16/11/2017 | Aula 2Sud Via Bramante 65 Crema and connection via Skype 1st Floor Meeting Room- Via Comelico 39 Milano | 14:00-16:30 |
Lecturer
Dr. Paolo Ceravaolo
Assessor
Dr. Paolo Ceravolo