contact us

+98 913 264 4310

+98 912 849 1734


+98 912 849 1734 (Virtual Fax)



Borna Sanjesh Kimia Company
No. 164, Ataei Street, Jeyhoun Street, Azadi

Business Process Discovery From Event Logs


Received: 24 April 2021
Revised: 26 May 2021
Accepted: 27 June 2021

Mohsen Mohammadi

  Download Full Text


In the area of information system (IS), process mining is considered as a new paradigm focusing on the extraction of knowledge to build event logs from data which are recorded in IS. The purpose of the mining process is to extract information about business processes and process discovery is one of the most challenging process mining tasks. From the event logs, the process model can be extracted in process discovery which is very important for analyzing and optimizing processes. This paper focuses on process discovery and models the explored process that has been restored to the event log by applying the alpha algorithm. A scenario example has been applied in my-invenio to automatically represent the organization process. The result shows that the process models and the related details of executed process are very useful for optimizing processes.

Keywords: Process mining, Process discovery, Process model.


  Download Full Text

Related Content

Register Here
To submit your paper, please register first by clicking on the registration button. You will then be able to upload your paper within the control panel(cpanel)

Publication Information

Journal of Practical Information Technology
ISSN: 2783-2872

Director in-charge
Seyed Mojtaba Mostafavi, Ph.D.

Borna Sanjesh Kimia Company

Dr. Liam Randall

Executive Manager
Mehrdad Fallahi Barzoki

Rosepub - Journal management system