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Multidimensional Process Mining: Questions, Requirements, and Limitations
2016
International Conference on Advanced Information Systems Engineering
Multidimensional process mining is an emerging approach that adopts the concept of data cubes to analyze processes from multiple views. This enables analysts to split event logs into a set of homogenous sublogs according to the case and event attributes. Each sublog is independently analyzed using process mining techniques resulting in an individual process model for each sublog. These models can be compared to identify group-related differences between the process variants. In this paper, we
dblp:conf/caise/VogelgesangKRA16
fatcat:qgddyur5xbhvdha3hsk5lpjove