RWTH Process Mining Lecture 11: Event Data and Exploration

RWTH Process Mining Lecture 11: Event Data and Exploration

In this lecture, Wil van der Aalst discusses the input side of process mining. This is crucial since most time is spent on data extraction. XES and OCEL standards are presented. Also, common data quality issues are discussed. To explore data, dotted charts are used.

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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 the 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

Twitter: #processmining @wvdaalst

[kumark-shbg]

Dear Professor @Wil van der Aalst, This was a great presentation and an eye-opener for me. Would it be possible for you to share the slides, please?