課程信息
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中級

完成時間大約為29 小時

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

英語(English)

字幕:英語(English)

您將獲得的技能

Petri NetProcess ModelingProcess MiningData Mining

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

完成時間大約為29 小時

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

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 6 小時

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 個視頻 (總計 228 分鐘), 7 個閱讀材料, 2 個測驗
18 個視頻
1.3: How Process Mining Relates to Data Mining20分鐘
1.4: Learning Decision Trees26分鐘
1.5: Applying Decision Trees20分鐘
1.6: Association Rule Learning18分鐘
1.7: Cluster Analysis13分鐘
1.8: Evaluating Mining Results14分鐘
Introducing Fluxicon & Disco10分鐘
Real Life Session 01: The Demo Scenario (7 min.)7分鐘
Real Life Session 02: Process Discovery and Simplification (11 min.)10分鐘
Real Life Session 03: Statistics, Cases and Variants (8 min.)7分鐘
Real Life Session 04: Bottleneck Analysis (7 min.)7分鐘
Real Life Session 05: Compliance Analysis (6 min.)5分鐘
Real Life Session 06: Tip 1 - Keep Copies of your Analyses (4 min.)4分鐘
Real Life Session 07: Tip 2 - Take Different Views on your Process (7 min.)7分鐘
Real Life Session 08: Tip 3 - Exporting Results (4 min.)4分鐘
7 個閱讀材料
Welcome to Process Mining: Data Science in Action10分鐘
The Forum is your (Extended) Classroom10分鐘
Process Mining: Data Science in Action Getting Started!10分鐘
[Extra] The data used in the lectures10分鐘
How is Process Mining Different from Data Mining?10分鐘
Quick Note Regarding Quizzes in this Course10分鐘
Real-life Process Mining Session10分鐘
2 個練習
Quiz 120分鐘
Real-life Process Mining Session Quiz (Not for points)12分鐘
2
完成時間為 4 小時

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 個視頻 (總計 159 分鐘), 1 個閱讀材料, 2 個測驗
8 個視頻
2.4: Transition Systems and Petri Net Properties20分鐘
2.5: Workflow Nets and Soundness16分鐘
2.6: Alpha Algorithm: A Process Discovery Algorithm25分鐘
2.7: Alpha Algorithm: Limitations23分鐘
2.8: Introducing ProM and Disco25分鐘
1 個閱讀材料
Using Event Data to Tear Down the Towers of Babel in Process Management10分鐘
2 個練習
Quiz 220分鐘
Tool Quiz40分鐘
3
完成時間為 3 小時

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 個視頻 (總計 145 分鐘), 1 個閱讀材料, 1 個測驗
8 個視頻
3.4: Dependency Graphs and Causal Nets21分鐘
3.5: Learning Dependency Graphs21分鐘
3.6: Learning Causal nets and Annotating Them18分鐘
3.7: Learning Transition Systems14分鐘
3.8: Using Regions to Discover Concurrency18分鐘
1 個閱讀材料
Process Mining in the Large: Smart Data Scientists Are More Important Than Big Computers!!10分鐘
1 個練習
Quiz 320分鐘
4
完成時間為 5 小時

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 個視頻 (總計 129 分鐘), 1 個閱讀材料, 2 個測驗
8 個視頻
4.4: Conformance Checking Using Causal Footprints10分鐘
4.5: Conformance Checking Using Token-Based Replay14分鐘
4.6: Token Based Replay: Some Examples15分鐘
4.7: Aligning Observed and Modeled Behavior18分鐘
4.8: Exploring Event Data20分鐘
1 個閱讀材料
Conformance Checking: Positive and Negative Deviants10分鐘
1 個練習
Quiz 420分鐘
4.8
135 個審閱Chevron Right

21%

完成這些課程後已開始新的職業生涯

34%

通過此課程獲得實實在在的工作福利

來自过程挖掘:数据科学实战的熱門評論

創建者 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.

創建者 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.

講師

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Wil van der Aalst

Professor dr.ir.
Department of Mathematics & Computer Science

關於 埃因霍温科技大学

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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