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Titel: Discovering Workflow Changes with Time-based Trace Clustering
Publikationstyp: Konferenzbeiträge
Autoren: Accorsi R, Stocker T
Erscheinungsjahr: 2012
Journal: Post-proceedings of the IFIP Symposium on Data-Driven Process Discovery and Analysis
Seiten: 154 - 168
Reihe: Lecture Notes in Business Information Processing, #116
Kurzfassung: This paper proposes a trace clustering approach to support process discovery of configurable, evolving process models. The clustering approach allows auditors to distinguish between different process variants within a timeframe, thereby visualizing the process evolution. The main insight to cluster entries is the “distance” between activities, i.e. the number of steps between an activity pair. By observing non-transient modifications on the distance, changes in the original process shape can be inferred and the entries clustered accordingly. The paper presents the corresponding algorithms and exemplifies its usage in a running example.
URL/DOI: http://dx.doi.org/10.1007/978-3-642-34044-4
PDF: http://files.telematik.un[...]tions/simpda11-pp.pdf
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