Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/25709
Title: | Algorithms for Process Mining – An Overview | Authors: | Nikoloska, Sandra Sazdova, Biljana Mircheva, Georgina |
Keywords: | process mining, business process, business process intelligence | Issue Date: | 2022 | Conference: | The 19th International Conference on Informatics and Information Technologies – CIIT 2022 | Abstract: | Process mining is a research area that provides an opportunity to utilize the gathered data about business processes that occur in organizations in order to provide improved business process models. That could be made by using process mining algorithms that analyze the event logs data from the business processes. Different research groups have proposed various algorithms for process mining by employing different approaches. This paper gives an introduction in the area of process mining, as well as an overview of the algorithms used within process mining, by describing how they work and how they are applied. | URI: | http://hdl.handle.net/20.500.12188/25709 |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
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CIIT_2022_33.pdf | 201.76 kB | Adobe PDF | View/Open |
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