Titlebook: Data-Driven Process Discovery and Analysis; Second IFIP WG 2.6, Philippe Cudre-Mauroux,Paolo Ceravolo,Dragan Ga?ev Conference proceedings

garrulous

HPA533

Conceptual Design for Engineersbalance the four basic quality dimensions for process mining (fitness, precision, simplicity and generalization) and a new dimension, namely the structural similarity between the reference model and the discovered model. We demonstrate the applicability of this technique using a real-life scenario from a Dutch municipality.

concert

捕鯨魚叉

Akiko Satake,Ottar N. Bjornstad,Yoh Iwasa give an overview on how empirical research informs structural and textual quality assurance of process models. We present selected findings and show how they can be utilized as a foundation for novel automatic analysis techniques.

平

enflame

Ballerina

比目魚

A Lightweight RDF Data Model for Business Process Analysis,shared vocabulary defined using open standard representations (RDF) allowing independence and extremely flexible interoperability between applications. The main benefit of this representation is that it is transparent to the data creation and analysis processes; furthermore it can be extended progre

使成核

Combination of Process Mining and Simulation Techniques for Business Process Redesign: A Methodologs in event logs. Process mining tools analyze the log to provide insight on the real problems of the process, as part of the diagnostic phase. Nonetheless, to complete the lifecycle of a process, the latter has to be redesigned, a task for which simulation techniques can be used in combination with

Bouquet

Improving Business Process Models Using Observed Behavior,ever, contextual factors and system requirements may cause the operational process to start deviating from this reference model. While a reference model should ideally be updated to remain aligned with such changes, this is a costly and often neglected activity. We present a new process mining techn