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Research Article | Open Access |

Handling Sudden and Recurrent Changes in Business Process Variability: Change Mining based Approach

Author 1: Asmae HMAMI Author 2: Hanae SBAI Author 3: Mounia FREDJ
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 12, No. 4 · Published 2021 · Cited by 5

DOI: 10.14569/IJACSA.2021.0120479

Abstract

Changes are random and unavoidable actions in business processes, and they are frequently overlooked by managers, especially when managers need to deal with a collection of process variants. Because they must manage every single business process variant separately which is a time-consuming task. They exist many approaches to manage a collection of business process and deal with variability. Such as process mining approaches, that can discover configurable business process models, enhancing them and verify conformity automatically. However, those approaches do not cover changes and concept drift that occur over time. This paper presents a novel change mining approach that discovers changes in a collection of event logs and reports them on a change log. This change log can be analyzed to determine whether the changes are sudden or recurrent and recommend afterward some improvement to the configurable process model.

Keywords

How to Cite this Article

HMAMI, A., SBAI, H., & FREDJ, M. (2021). Handling Sudden and Recurrent Changes in Business Process Variability: Change Mining based Approach. International Journal of Advanced Computer Science and Applications, 12(4). https://doi.org/10.14569/IJACSA.2021.0120479

HMAMI, Asmae, et al.. "Handling Sudden and Recurrent Changes in Business Process Variability: Change Mining based Approach." International Journal of Advanced Computer Science and Applications, vol. 12, no. 4, 2021, https://doi.org/10.14569/IJACSA.2021.0120479.

@article{HMAMI2021,
  title     = {Handling Sudden and Recurrent Changes in Business Process Variability: Change Mining based Approach},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {12},
  number    = {4},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Asmae HMAMI and Hanae SBAI and Mounia FREDJ},
  doi       = {10.14569/IJACSA.2021.0120479},
  url       = {https://doi.org/10.14569/IJACSA.2021.0120479}
}

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