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Process Mining Workshops: ICPM 2020 International Workshops, Padua, Italy, October 58, 2020, Revised Selected Papers [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  3030726924
  • ISBN-10:  3030726924
  • ISBN-13:  9783030726928
  • ISBN-13:  9783030726928
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  300
  • Pages:  300
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Apr-2021
  • Pub Date:  01-Apr-2021
  • SKU:  3030726924-11-SPRI
  • SKU:  3030726924-11-SPRI
  • Item ID: 105287813
  • List Price: $84.99
  • Seller: ShopSpell
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  • Delivery by: Oct 02 to Oct 04
This book constitutes revised selected papers from the International Workshops held at the Second International Conference on Process Mining, ICPM 2020, which took place during October 4-9, 2020. The conference was planned to take place in Padua, Italy, but had to be held online due to the COVID-19 pandemic.

The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 29 papers included in this volume were carefully reviewed and selected from 59 submissions. They stem from the following workshops:

1st International Workshop on Event Data and Behavioral Analytics (EDBA)

1st International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)

1st International Workshop on Streaming Analytics for Process Mining (SA4PM'20)

5th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)

3rd International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)

1st International Workshop on Trust and Privacy in Process Analytics (TPPA)

 

1st International Workshop on Event Data and Behavioral Analytics (EDBA).- Visually Representing History Dependencies in Event Logs.- Analysis of Business Process Batching using Causal Event Models.- Process Procespecting to Improve Renewable Energy Interconnection Queues: A Case Study.- Automated Discovery of Process Models with True Concurrency and Inclusive Choices.- A Novel Approach to Discover Switch Behaviours in Process Mining.- Process Model Discovery from Sensor Event Data.- Unsupervised Event Abstraction in a Process Mining Context: A Benchmark Study.- 1st International Workshop on Leveraging Machine l#%