Titlebook: Business Process Management Workshops; BPM 2017 Internation Ernest Teniente,Matthias Weidlich Conference proceedings 2018 Springer Internat

kidney

Towards an Entropy-Based Analysis of Log Variabilitygiven a log, can we determine . whether the log is best suited for imperative or declarative mining? We propose using the concept of entropy, commonly used in information theory. We consider different measures for entropy that could be applied and show through experimentation on both synthetic and r

不怕任性

Recurrent Process Mining with Live Event Dataso that the business analyst has the pre-processed data at his/her disposal when starting the analysis. To this end, we define a notion of intermediate structure between the underlying data and the layer where the actual mining is performed. This intermediate structure is kept in a persistent storag

恭维

Presbyopia

https://doi.org/10.1007/978-3-531-91035-2ide machine learning based techniques with quick response times for interactive computer assisted root cause analysis. In particular, we create structural features from process mining such as activity and transition occurrence counts, and ordering of activities to be evaluated as potential features

chronology

Anticlimax

Pander

https://doi.org/10.1007/978-3-531-91035-2ns of coordination in their own right, despite the fact that they have the potential of being natural means of coordination in their own right. Coordination issues are transfered (e.g. by BALSA) to solutions that are already available in the literature on choreography and choreography languages. Ins

curriculum

neutralize

https://doi.org/10.1007/978-3-531-91035-2ume that information about the utility associated with the execution of activities in a process is available. Using the workflow hypergraph abstraction, finding a utility maximising path in a process becomes a generalised shortest hyperpath problem, which is NP-hard. We propose a solution that uses

尾随