Acerca de este Curso
4.7
473 calificaciones
122 revisiones
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Nivel intermedio

Horas para completar

Aprox. 29 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

Petri NetProcess ModelingProcess MiningData Mining
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Nivel intermedio

Horas para completar

Aprox. 29 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
Horas para completar
6 horas para completar

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....
Reading
18 videos (Total 228 minutos), 7 readings, 2 quizzes
Video18 videos
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
Reading7 lecturas
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
Quiz2 ejercicios de práctica
Quiz 120m
Real-life Process Mining Session Quiz (Not for points)12m
Semana
2
Horas para completar
4 horas para completar

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....
Reading
8 videos (Total 159 minutos), 1 reading, 2 quizzes
Video8 videos
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
Reading1 lectura
Using Event Data to Tear Down the Towers of Babel in Process Management10m
Quiz2 ejercicios de práctica
Quiz 220m
Tool Quiz40m
Semana
3
Horas para completar
3 horas para completar

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....
Reading
8 videos (Total 145 minutos), 1 reading, 1 quiz
Video8 videos
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
Reading1 lectura
Process Mining in the Large: Smart Data Scientists Are More Important Than Big Computers!!10m
Quiz1 ejercicio de práctica
Quiz 320m
Semana
4
Horas para completar
5 horas para completar

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....
Reading
8 videos (Total 129 minutos), 1 reading, 2 quizzes
Video8 videos
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
Reading1 lectura
Conformance Checking: Positive and Negative Deviants10m
Quiz1 ejercicio de práctica
Quiz 420m
4.7
122 revisionesChevron Right
Beneficio de la carrera

33%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

Principales revisiones

por 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.

por 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.

Instructor

Avatar

Wil van der Aalst

Professor dr.ir.
Department of Mathematics & Computer Science

Acerca de Universidad Técnica de Eindhoven

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....

Preguntas Frecuentes

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