RWTH Process Mining Lecture 1: Introduction to Process Mining
RWTH Process Mining Lecture 1: Introduction to Process Mining
Lecturer: Prof.dr.ir. Wil van der Aalst (www.vdaalst.com, @wvdaalst)
In this lecture, Wil van der Aalst presents an overview of the topic of process mining in a top-down and bottom-up manner
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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 http://www.vdaalst.com and http://www.pads.rwth-aachen.de.
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
Closing Lecture
(Note that the RWTH course has more lectures dedicated to the organization, exam, assignments, etc. Since these are specific, they are not included.)
See Process Mining Course @ RWTH Aachen U... for all lectures in this course. See BPI Course - An introduction to Proce... for last year's course (BPI 2020) and Introduction to Data Science (IDS) Co... for an Introduction to Data Science (IDS 20/21).
WWW: www.vdaalst.com
Twitter: #processmining @wvdaalst
LinkedIn: linkedin.com/in/wvdaalst
Lecturer: Prof.dr.ir. Wil van der Aalst (www.vdaalst.com, @wvdaalst)
In this lecture, Wil van der Aalst presents an overview of the topic of process mining in a top-down and bottom-up manner
------------------------
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 http://www.vdaalst.com and http://www.pads.rwth-aachen.de.
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
Closing Lecture
(Note that the RWTH course has more lectures dedicated to the organization, exam, assignments, etc. Since these are specific, they are not included.)
See Process Mining Course @ RWTH Aachen U... for all lectures in this course. See BPI Course - An introduction to Proce... for last year's course (BPI 2020) and Introduction to Data Science (IDS) Co... for an Introduction to Data Science (IDS 20/21).
WWW: www.vdaalst.com
Twitter: #processmining @wvdaalst
LinkedIn: linkedin.com/in/wvdaalst
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