Process Mining: Data science in Action

课程
en
英语
30 时
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来源
  • 来自www.coursera.org
状况
  • 自定进度
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更多信息
  • 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

没有。

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.

平台

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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