Process Mining
News
- October 2nd, 2019: Lessons will start!!! Enjoying.
General Info
Teachers:
- Barbara Re
ESSE3 Link
Lessons Scheduling:
- 42 h - lecture and exercise sessions
- Wednesday: 09:00 am – 11:00 am
- Thursday : 2:00 pm – 4:00 pm
To book an appointment:
- Please send and e-mail.
Course Objectives
- This course focuses on the missing link between model-based process analysis and data-oriented analysis techniques
- The course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains
- The course explains various process discovery algorithms
- The course introduces conformance techniques to compare processes and event data
- The course provides students the opportunity to experiment with tools
Learning Outcomes
- At the end of the course, the students will gain familiarity with process mining terminology, methodology and technologies
- Be able to apply basic process discovery techniques to learn a process model from an event log
- Be able to apply basic conformance checking techniques to compare event logs and process models
- Have a good understanding of the data needed to start a process mining project
- Be able to conduct process mining projects
Course Contents
- Introduction
- From Internet of Events to Process Mining
- Logs: Play-in, Play Out and Reply
- Positioning Process Mining
- Preliminaries
- Process Modelling and Analysis
- Data Mining
- From Event Logs to Process Models
- Getting Data
- Process Discovery
- Advance Process Discovery Techniques
- Tools support
- Beyond Process Discovery
- Conformance Checking
- Mining Additional Perspective
- Putting Process Mining to Work
- Business Activity Monitoring, KPI and Improvement
- Blockchain Technologies
- Sensors, Internet-of-Things (IoT) and wearable devices
Study material
Course Slides Classroom with Slide
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Registration
Reference book:
- Process Mining: Data Science in Action by W.M.P. van der Aalst, Springer Verlag, 2016 (ISBN 978-3-662-49850-7).
- Fundamentals of Business Process Management. Marlon Dumas, Marcello La Rosa, Jan Mendling, Hajo Reijers. Springer. II Edition.
Tools:
Exams
Dates available at https://didattica.unicam.it/Home.do
Exams Rules:
- On the exam date, a written examination takes place; it has a mixed structure: solution of exercises and open/close answer questionnaire.
- To be admitted to the written text, the students have to run a project with the APROMORE software tool and deliver a report describing the project objective, findings, and lesson learned.