Process Mining: Data science in Action

Name: Process Mining: Data science in Action
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Author: Eindhoven University of Technology

课程

英语

30 时

来源

来自www.coursera.org

状况

自定进度
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6 序列
等级中级

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课程详情

教学大纲

Week 1 - 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.
Week 2 - 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.
Week 3 - 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.
Week 4 - 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.
Week 5 - 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.
Week 6 - 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.

先决条件

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讲师

Wil van der Aalst
Professor dr.ir.
Department of Mathematics & Computer Science

编辑

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.