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RWTH Process Mining Lecture 1: Introduction to Process Mining
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RWTH Process Mining Lecture 1: Introduction to Process Mining
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.
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.)
Twitter: #processmining @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.
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.)
Twitter: #processmining @wvdaalst
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