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

debouch

orient

Reducing Event Variability in Logs by Clustering of Word Embeddingstextual messages hinders the utility of process discovery techniques by producing non-understandable unstructured process models. In this paper, we propose the usage of word embedding for combining events that have a semantically similar name.

透明

Medienpolitik in den 80er Jahrenlated by them. Our technique recasts such a problem in a reachability problem and provides an encoding in an action language which allows to virtually use any state-of-the-art planning to return solutions.

四海为家的人

调整校对

Methodisch-methodologische Grundlagen, user-specified partial trace. Although our tool is still in its preliminary version, we have successfully exploited it to generate synthetic logs of different dimension, thus proving the viability of our approach.

CHAFE

Medienpraxiskulturen männlicher Jugendlicherented in both the ProM toolkit and the RapidProM framework. We evaluate our approach using real and synthetic event data. The results show that the proposed method accurately removes irrelevant behaviour and, indeed, improves process discovery results.

single

是贪求

Enhancing Workflow-Nets with Data for Trace Completionlated by them. Our technique recasts such a problem in a reachability problem and provides an encoding in an action language which allows to virtually use any state-of-the-art planning to return solutions.

Nmda-Receptor

An Agent-Based Model of a Business Process: The Use Case of a Hospital Emergency Department department, to provide immediate understanding of bottlenecks and queues. While first results were validated from managers, next steps include the comparison of resulting flows between the new and the old department. Logistics analysis includes the time for moving agents between different wards.

废止

Abduction for Generating Synthetic Traces user-specified partial trace. Although our tool is still in its preliminary version, we have successfully exploited it to generate synthetic logs of different dimension, thus proving the viability of our approach.