@article {Hmami2021632,
	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},
	note = {cited By 1},
	pages = {632-640},
	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 timeconsuming 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. {\textcopyright} 2021. All Rights Reserved.},
	keywords = {Business Process, Change logs, Change mining, Component, Concept drifts, Configurable process models, Data mining, Managers, Process mining, Process variants, Sudden change, Variability},
	doi = {10.14569/IJACSA.2021.0120479},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105804608\&doi=10.14569\%2fIJACSA.2021.0120479\&partnerID=40\&md5=826c6a1f82674abf6a9a671f65401022},
	author = {Hmami, A. and Fredj, M. and Sba{\"\i}, H.}
}
