… The techniques proposed in this paper show significant promise in handling concept drifts.
We further provide an outlook on some of the topics in concept drift and believe that this niche …

… models and the nature of process change pose new … of concept drift in process mining
and present the basic idea and … framework for handling concept drifts in process mining and …

… , we review concept drift in PM and bring forward a taxonomy of existing techniques for drift
… hypothesis testing are tailored to deal with the first two challenges of process drift detection: …

… , concept drift is usually handled … process mining which is strongly affected by concept drift.
We can show that we can improve accuracy from 0.5400 to 0.7010 with concept drift handling. …

… work dealing with concept drift in … process execution definition typically used in process
mining to event graphs of connected objects. To extract connected objects, we use the concept of …

… Efficiently handling concept drift is an important concern in every data analysis disciplines[2],
unfortunately it has been deeply neglected in process mining. According to [2], concept drift …

… Situations in which the process is changed or changing while being analyzed is defined
as the concept drift in process mining [1]. Techniques for handing concept drifts are of utmost …

… that handling multiple goals and addressing their conflicts requires integrating concept drift
… Proposing a benchmark dataset of event streams incorporating concept drift and incomplete …

… handling concept drift has, thus, been named one of the main challenges in process mining
[2]… , we introduce related work on concept drift detection and cause-effect analysis in process …

… study on handling concept drift in process mining published in 2011 [4] and 2012 [5], interest
in this topic has been developing more recently. Concept drift-aware process mining allows …