2014
DOI: 10.1007/978-3-319-10172-9_16
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A General Framework for Correlating Business Process Characteristics

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Cited by 37 publications
(20 citation statements)
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“…Furthermore, before drawing such diagrams, one needs to gain the necessary insights, which our framework facilitates to obtain. This paper extends the framework initially proposed in [21] to allow grouping the traces of an event log into clusters. Literature proposes a large number of approaches to address this topic, e.g.…”
Section: Tablementioning
confidence: 98%
See 1 more Smart Citation
“…Furthermore, before drawing such diagrams, one needs to gain the necessary insights, which our framework facilitates to obtain. This paper extends the framework initially proposed in [21] to allow grouping the traces of an event log into clusters. Literature proposes a large number of approaches to address this topic, e.g.…”
Section: Tablementioning
confidence: 98%
“…Compared with the implementation reported in [21], the nodes of the trees are now filled in with a color. The color of an internal node depends on the perspective of the referred process characteristics.…”
Section: Visual Interfacementioning
confidence: 99%
“…The same concept is also applied in [14], yet focusing just on the multi-choice workflow pattern [15] case. In [2], the same concept is generalized by proposing a generic framework according to which virtually any characteristics can be correlated (again through decision trees classification) to another one. Authors indeed recommend the automated creation of a number of related characteristics to be evaluated as affecting factors.…”
Section: Related Workmentioning
confidence: 99%
“…The next step that could add greater value to organizations is to reach perceptive conclusions about how this variability is related to process characteristics. As discussed in [2], if process flow variability can be pointedly attributed to characteristics, a great potential for process analysis is unleashed: we will be able to correlate the control flow to other perspectives (e.g. the organizational perspective, the data perspective etc.).…”
Section: Introductionmentioning
confidence: 98%
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