Abstract
The application of process mining techniques to real-life corporate environments has been of an ad-hoc nature so far, focused on proving the concept. One major reason for this rather slow adoption has been the complicated task of transforming real-life event log data to the MXML format used by advanced process mining tools, such as ProM. In this paper, the ProM Import Framework is presented, which has been designed to bridge this gap and to build a stable foundation for the extraction of event log data from any given PAIS implementation. Its flexible and extensible architecture, adherence to open standards, and open source availability make it a versatile contribution to the general BPI community. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Günther, C. W., & Van Der Aalst, W. M. P. (2006). A generic import framework for process event logs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4103 LNCS, pp. 81–92). Springer Verlag. https://doi.org/10.1007/11837862_10
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