Titlebook: Data-Driven Process Discovery and Analysis; 7th IFIP WG 2.6 Inte Paolo Ceravolo,Maurice van Keulen,Kilian Stoffel Conference proceedings 20

灌溉

The Road to Facilitated Variation modelling method, combining TOSCA and Petri nets. This model is used to derive pattern instances, which are input for a complex event processing engine in order to analyze them against the generated events of the monitored applications.

遺傳學(xué)

Online Detection of Operator Errors in Cloud Computing Using Anti-patterns, modelling method, combining TOSCA and Petri nets. This model is used to derive pattern instances, which are input for a complex event processing engine in order to analyze them against the generated events of the monitored applications.

Texture

無(wú)政府主義者

https://doi.org/10.1007/978-3-319-19839-2the output of a subtrace mining approach can be used to mine LPMs more efficiently. Secondly, we show how instances of LPMs can be correlated together to obtain larger LPMs, thus providing a more comprehensive overview of the overall process. We demonstrate both effects on a collection of real-life event logs.

chuckle

Mining Local Process Models and Their Correlations,the output of a subtrace mining approach can be used to mine LPMs more efficiently. Secondly, we show how instances of LPMs can be correlated together to obtain larger LPMs, thus providing a more comprehensive overview of the overall process. We demonstrate both effects on a collection of real-life event logs.

dura-mater

傻

Executing Lifecycle Processes in Object-Aware Process Management,ad data values must be present in business objects for a successful process completion. While this holds the promise of more flexible processes, the addition of the data perspective results in increased complexity. Therefore, data-centric approaches must be able to cope with the increased complexity

finale

Occupation

Mining Local Process Models and Their Correlations,not be described by a single process model without overgeneralizing the allowed behavior. Several techniques for mining local patterns have been developed over the years, including Local Process Model (LPM) mining, episode mining, and the mining of frequent subtraces. These pattern mining techniques

輕彈

A Linear Temporal Logic Model Checking Method over Finite Words with Correlated Transition Attributic nature of such traces helps in adapting traditional techniques in order to extend their analysis capabilities. The paper presents an adaption of the classical Timed Propositional Temporal Logic to the case of finite words and considers relations among different attributes corresponding to differe