About this Course
4.8
528개의 평가
135개의 리뷰

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

완료하는 데 약 29시간 필요

권장: 6 weeks of study, 3 to 5 hours/week of material + self study...

영어

자막: 영어

귀하가 습득할 기술

Petri NetProcess ModelingProcess MiningData Mining

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

완료하는 데 약 29시간 필요

권장: 6 weeks of study, 3 to 5 hours/week of material + self study...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 6시간 필요

Introduction and Data Mining

This first module contains general course information (syllabus, grading information) as well as the first lectures introducing data mining and process mining....
18 videos (Total 228 min), 7 readings, 2 quizzes
18개의 동영상
1.1: Data Science and Big Data16m
1.2: Different Types of Process Mining21m
1.3: How Process Mining Relates to Data Mining20m
1.4: Learning Decision Trees26m
1.5: Applying Decision Trees20m
1.6: Association Rule Learning18m
1.7: Cluster Analysis13m
1.8: Evaluating Mining Results14m
Introducing Fluxicon & Disco10m
Real Life Session 01: The Demo Scenario (7 min.)7m
Real Life Session 02: Process Discovery and Simplification (11 min.)10m
Real Life Session 03: Statistics, Cases and Variants (8 min.)7m
Real Life Session 04: Bottleneck Analysis (7 min.)7m
Real Life Session 05: Compliance Analysis (6 min.)5m
Real Life Session 06: Tip 1 - Keep Copies of your Analyses (4 min.)4m
Real Life Session 07: Tip 2 - Take Different Views on your Process (7 min.)7m
Real Life Session 08: Tip 3 - Exporting Results (4 min.)4m
7개의 읽기 자료
Welcome to Process Mining: Data Science in Action10m
The Forum is your (Extended) Classroom10m
Process Mining: Data Science in Action Getting Started!10m
[Extra] The data used in the lectures10m
How is Process Mining Different from Data Mining?10m
Quick Note Regarding Quizzes in this Course10m
Real-life Process Mining Session10m
2개 연습문제
Quiz 120m
Real-life Process Mining Session Quiz (Not for points)12m
2
완료하는 데 4시간 필요

Process Models and Process Discovery

In this module we introduce process models and the key feature of process mining: discovering process models from event data....
8 videos (Total 159 min), 1 reading, 2 quizzes
8개의 동영상
2.2: Petri Nets (1/2)16m
2.3: Petri Nets (2/2)17m
2.4: Transition Systems and Petri Net Properties20m
2.5: Workflow Nets and Soundness16m
2.6: Alpha Algorithm: A Process Discovery Algorithm25m
2.7: Alpha Algorithm: Limitations23m
2.8: Introducing ProM and Disco25m
1개의 읽기 자료
Using Event Data to Tear Down the Towers of Babel in Process Management10m
2개 연습문제
Quiz 220m
Tool Quiz40m
3
완료하는 데 3시간 필요

Different Types of Process Models

Now that you know the basics of process mining, it is time to dive a little bit deeper and show you other ways of discovering a process model from event data....
8 videos (Total 145 min), 1 reading, 1 quiz
8개의 동영상
3.2: On The Representational Bias of Process Mining16m
3.3: Business Process Model and Notation (BPMN)15m
3.4: Dependency Graphs and Causal Nets21m
3.5: Learning Dependency Graphs21m
3.6: Learning Causal nets and Annotating Them18m
3.7: Learning Transition Systems14m
3.8: Using Regions to Discover Concurrency18m
1개의 읽기 자료
Process Mining in the Large: Smart Data Scientists Are More Important Than Big Computers!!10m
1개 연습문제
Quiz 320m
4
완료하는 데 5시간 필요

Process Discovery Techniques and Conformance Checking

In this module we conclude process discovery by discussing alternative approaches. We also introduce how to check the conformance of the event data and the process model....
8 videos (Total 129 min), 1 reading, 2 quizzes
8개의 동영상
4.2: Alternative Process Discovery Techniques22m
4.3: Introduction to Conformance Checking11m
4.4: Conformance Checking Using Causal Footprints10m
4.5: Conformance Checking Using Token-Based Replay14m
4.6: Token Based Replay: Some Examples15m
4.7: Aligning Observed and Modeled Behavior18m
4.8: Exploring Event Data20m
1개의 읽기 자료
Conformance Checking: Positive and Negative Deviants10m
1개 연습문제
Quiz 420m
5
완료하는 데 2시간 필요

Enrichment of Process Models

In this module we focus on enriching process models. We can for instance add the data aspect to process models, show bottlenecks on the process model and analyse the social aspects of the process....
9 videos (Total 113 min), 1 reading, 1 quiz
9개의 동영상
5.2: Mining Decision Points16m
5.3: Discovering Data Aware Petri Nets12m
5.4: Mining Bottlenecks11m
5.5: Mining Social Networks16m
5.6: Organizational Mining8m
5.7: Combining Different Perspectives12m
5.8: Comparative Process Mining Using Process Cubes13m
5.9: Refined Process Mining Framework11m
1개의 읽기 자료
Holistic Process Mining: Integrating Different Perspectives10m
1개 연습문제
Quiz 520m
6
완료하는 데 3시간 필요

Operational Support and Conclusion

In this final module we discuss how process mining can be applied on running processes. We also address how to get the (right) event data, process mining software, and how to get from data to results....
9 videos (Total 105 min), 2 readings, 2 quizzes
9개의 동영상
6.2: Getting the Right Event Data16m
6.3: Guidelines for Logging9m
6.4: Process Mining Software15m
6.5: How to Conduct a Process Mining Project11m
6.6: Mining Lasagna Processes5m
6.7: Mining Spaghetti Processes8m
6.8: Process Models as Maps11m
6.9: Data Science in Action9m
2개의 읽기 자료
Process models are like maps: Which one is best depends on the questions that need to be answered!10m
Overview: Process Mining Software10m
2개 연습문제
Quiz 620m
Final Quiz40m
4.8
135개의 리뷰Chevron Right

21%

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34%

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최상위 리뷰

대학: ECJul 31st 2017

Great course. Professor Wil van der Aalst delivers great lectures, very clear and deep in general with good examples. I really enjoyed the course from the beginning to the end.

대학: MTJan 29th 2018

This course was wonderful. I have attempted it several times, but did not find enough time to finish it until lately. Dr. van der Aalst is magnificent in his presentation.

강사

Avatar

Wil van der Aalst

Professor dr.ir.
Department of Mathematics & Computer Science

아이트호벤 공과 대학 정보

Eindhoven University of Technology (TU/e) is a research-driven, design-oriented university of technology with a strong international focus. The university was founded in 1956, and has around 8,500 students and 3,000 staff. TU/e has defined strategic areas focusing on the societal challenges in Energy, Health and Smart Mobility. The Brainport Eindhoven region is one of world’s smartest; it won the title Intelligent Community of the Year 2011....

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