نبذة مختصرة : Through the application of process mining, organisations can improve their business processes by leveraging data recorded as a result of the performance of these processes. Over the past two decades, the field of process mining evolved considerably, offering a rich collection of analysis techniques with different objectives and characteristics. Despite the advances in this field, a solid statistical foundation is still lacking. Such a foundation would allow analysis outcomes to be found or judged using the notion of statistical significance, thus providing a more objective way to assess these outcomes. This article contributes several statistical tests and association measures that treat process behaviour as a variable. The sensitivity of these tests to their parameters is evaluated and their applicability is illustrated through the use of real-life event logs. The presented tests and measures constitute a key contribution to a statistical foundation for process mining.
Relation: https://eprints.qut.edu.au/235675/1/Statistical_tests_AAM.pdf; Leemans, Sander J.J., McGree, James M., Polyvyanyy, Artem, & Hofstede, Arthur H.M.ter (2023) Statistical Tests and Association Measures for Business Processes. IEEE Transactions on Knowledge and Data Engineering, 35(7), pp. 7497-7511.; https://eprints.qut.edu.au/235675/; Centre for Behavioural Economics, Society & Technology; Centre for Data Science; Faculty of Business & Law; Faculty of Science; School of Information Systems; School of Mathematical Sciences
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