process mining
The dataset were compiled and obtained using the HarmonyERP (https://www.harmonyerp.cloud/en/) software used by KNS Otomotiv (www.knsotomotiv.com/en/) which operates with the ATO model. The KNS company produces parts in various categories such as air duct systems, service sets, continuous LED lighting systems, grab bars, and baskets for commercial vehicles (buses).
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Overview
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Real life business processes change over time, in both planned and unexpected ways. These changes over time are called concept drifts and its detection is a big challenge in process mining since the inherent complexity of the data makes difficult distinguishing between a change and an anomalous execution. The following logs were generated synthetically in order to prove the quality of different concept drift detection algorithms.
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