A Case Study Lens on Process Mining in Practice

2019 ◽  
pp. 127-145
Author(s):  
Fahame Emamjome ◽  
Robert Andrews ◽  
Arthur H. M. ter Hofstede
Keyword(s):  
Process Mining

scholarly journals Using a Process Approach to Pandemic Planning: A Case Study

2021 ◽  
Vol 11 (9) ◽  
pp. 4121
Author(s):  
Hana Tomaskova ◽  
Erfan Babaee Tirkolaee
Keyword(s):  
Process Model ◽  
Process Mining ◽  
Process Approach ◽  
Research Topic ◽  
Future Research ◽  
Critical Situation ◽  
Pandemic Planning ◽  
The Difference ◽  
Smart Technologies

The purpose of this article was to demonstrate the difference between a pandemic plan’s textual prescription and its effective processing using graphical notation. Before creating a case study of the Business Process Model and Notation (BPMN) of the Czech Republic’s pandemic plan, we conducted a systematic review of the process approach in pandemic planning and a document analysis of relevant public documents. The authors emphasized the opacity of hundreds of pages of text records in an explanatory case study and demonstrated the effectiveness of the process approach in reengineering and improving the response to such a critical situation. A potential extension to the automation and involvement of SMART technologies or process optimization through process mining techniques is presented as a future research topic.

scholarly journals Analysing an Industrial Safety Process Through Process Mining: A Case Study

2018 ◽  
pp. 491-500
Author(s):  
Anastasiia Pika ◽  
Arthur H. M. ter Hofstede ◽  
Robert K. Perrons ◽  
Georg Grossmann ◽  
Markus Stumptner ◽  
...  
Keyword(s):  
Process Mining ◽  
Industrial Safety

scholarly journals A Case Study of Inconsistency in Process Mining Use: Implications for the Theory of Effective Use

2021 ◽  
pp. 363-379
Author(s):  
Rebekah Eden ◽  
Rehan Syed ◽  
Sander J. J. Leemans ◽  
Joos A. C. M. Buijs
Keyword(s):  
Process Mining ◽  
Effective Use

scholarly journals Discovering Business Processes from Email Logs using fastText and Process Mining

2020 ◽  
Author(s):  
Yaghoub rashnavadi ◽  
Sina Behzadifard ◽  
Reza Farzadnia ◽  
sina zamani
Keyword(s):  
Machine Learning ◽  
Business Processes ◽  
Oil And Gas ◽  
Process Mining ◽  
The Body ◽  
Process Models ◽  
Supervised Machine Learning ◽  
Implicit Information ◽  
Oil And Gas Sector

<p>Communication has never been more accessible than today. With the help of Instant messengers and Email Services, millions of people can transfer information with ease, and this trend has affected organizations as well. There are billions of organizational emails sent or received daily, and their main goal is to facilitate the daily operation of organizations. Behind this vast corpus of human-generated content, there is much implicit information that can be mined and used to improve or optimize the organizations’ operations. Business processes are one of those implicit knowledge areas that can be discovered from Email logs of an Organization, as most of the communications are followed inside Emails. The purpose of this research is to propose an approach to discover the process models in the Email log. In this approach, we combine two tools, supervised machine learning and process mining. With the help of supervised machine learning, fastText classifier, we classify the body text of emails to the activity-related. Then the generated log will be mined with process mining techniques to find process models. We illustrate the approach with a case study company from the oil and gas sector.</p>

Process mining applied on library information systems: A case study

2018 ◽  
Vol 40 (3-4) ◽  
pp. 245-254 ◽  
Author(s):  
Elia Kouzari ◽  
Ioannis Stamelos
Keyword(s):  
Information Systems ◽  
Process Mining

Measuring the Impact of the Semantic-Based Process Mining Approach

2020 ◽  
pp. 217-237
Keyword(s):  
Knowledge Base ◽  
Real Time ◽  
Learning Process ◽  
Conceptual Analysis ◽  
Process Mining ◽  
Levels Of Analysis ◽  
Use Case ◽  
Abstraction Levels ◽  
The Impact

This chapter looks at the extent to which the semantic-based process mining approach of this book supports the conceptual analysis of the events logs and resultant models. Qualitatively, the chapter leverages the use case study of the research learning process domain to determine how the proposed method support the discovery, monitoring, and enhancement of the real-time processes through the abstraction levels of analysis. Also, the chapter quantitatively assesses the level of accuracy of the classification process to predict behaviours of unobserved instances within the underlying knowledge base. Overall, the work looks at the implications of the semantic-based approach, validation of the classification results, and their influence compared to other existing benchmark techniques/algorithms used for process mining.

scholarly journals Correction to: Process mining project methodology in healthcare: a case study in a tertiary hospital

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Gustavo Bernardi Pereira ◽  
Eduardo Alves Portela Santos ◽  
Marcell Mariano Corrêa Maceno
Keyword(s):  
Process Mining ◽  
Tertiary Hospital ◽  
Mining Project
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