Process Mining


  • October 2nd, 2019: Lessons will start!!! Enjoying.

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.

  • 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
  • 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
  • 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

Course Slides Classroom with Slide

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:


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.