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Mining processes with multi-instantiation
conference contribution
posted on 2015-01-01, 00:00 authored by I Weber, M Farshchi, J Mendling, Jean-Guy SchneiderJean-Guy SchneiderCopyright 2015 ACM. Process mining, in particular discovering process models by mining event traces, is becoming a widely adopted practice. However, when the underlying process contains subprocesses which are instantiated multiple times in parallel, classical process mining techniques that assume a flat process are not directly applicable. Their application can cause one of two problems: either the mined model is overly general, allowing arbitrary order and execution frequency of activities in the sub-process, or it lacks fitness by capturing only single instantiation of sub-processes. For conformance checking, this results in a too high rate of either false positives or false negatives, respectively. In this paper, we propose an extension to well-known process mining techniques, adding the capability of handling multi-instantiated sub-processes to discovery and conformance checking. We evaluate the approach with a real-world data set.
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Event
ACM Applied Computing. Annual Symposium (30th : 2015 : Salamanca, Spain)Pagination
1231 - 1237Publisher
ACMLocation
Salamanca, SpainPlace of publication
New York, N.Y.Publisher DOI
Start date
2015-04-13End date
2015-04-17ISBN-13
9781450331968Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2015, ACMTitle of proceedings
Proceedings of the 30th Annual ACM Symposium on Applied ComputingUsage metrics
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