RWTH Process Mining Lecture 4: Introduction to Process Discovery
Lecturer: Prof.dr.ir. Wil van der Aalst (www.vdaalst.com, @wvdaalst)
In this lecture, Wil van der Aalst presents the challenge of discovering process models from event data. It starts with learning directly-follows graphs that cannot capture concurrency leading to poor process models. The second part introduces Petri nets. This part is essential to understand the basics of process mining.
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More about this Process Mining Course @ RWTH Aachen University (BPI 2021):
This course consists of around 20 lectures covering the different fields of process mining, including five process discovery techniques, three conformance checking techniques, data preparation, decision mining, predictive analytics, machine learning, big-data analytics, and process mining software. The course is at an introductory level, but also comprehensive and providing details on state-of-the-art process mining techniques.
The videos are part of the Business Process Intelligence (BPI) course organized by the PADS (Process and Data Science) group at RWTH (www.pads.rwth-aachen.de) and led by prof.dr.ir. Wil van der Aalst. The lectures by Wil van der Aalst are online due to COVID-19 and recorded in Spring 2021. Niklas Adams, Bianka Bakullari, Ali Norouzifar, Marco Pegoraro, Mahsa Pourbafrani, Mahnaz Qafari, Majid Rafiei, and Miriam Wagner took care of the instructions and assignments.
For more information, visit [ Ссылка ] and [ Ссылка ].
Enjoy the course! We hope it will inspire you to dive deeper into this wonderful world of process mining.
Overview
1 Introduction to Process Mining
2 Decision Trees
3 Association Rules & Clustering
4 Introduction to Process Discovery
5 Petri Nets & Alpha Algorithm
6 Alpha Algorithm Continued
7 Quality of Discovered Models and Representations
8 Heuristic Mining
9 Region-Based Mining
10 Inductive Mining
11 Event Data and Exploration
12 Conformance Checking (1/2)
13 Conformance Checking (2/2)
14 Decision Mining
15 Organizational Mining & Bottleneck Analysis
16 Refined Process Mining Framework and Operational Support
17 Dealing with Big Event Data
18 Discussion of an old/possible exam
19 Summary of the Course and Next Steps
See [ Ссылка ] for all lectures in this course. See [ Ссылка ] for last years course (BPI 2020) and [ Ссылка ] for an Introduction to Data Science (IDS 20/21).
WWW: www.vdaalst.com
Twitter: #processmining @wvdaalst
LinkedIn: linkedin.com/in/wvdaalst
