Detecting changes in process behavior using comparative case clustering

B.F.A. Hompes, J.C.A.M. Buijs, W.M.P. van der Aalst, P.M. Dixit, J. Buurman

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

3 Citaten (Scopus)
5 Downloads (Pure)

Samenvatting

Real-life business processes are complex and often exhibit a high degree of variability. Additionally, due to changing conditions and circumstances, these processes continuously evolve over time. For example, in the healthcare domain, advances in medicine trigger changes in diagnoses and treatment processes. Case data (e.g. treating physician, patient age) also influence how processes are executed. Existing process mining techniques assume processes to be static and therefore are less suited for the analysis of contemporary, flexible business processes. This paper presents a novel comparative case clustering approach that is able to expose changes in behavior. Valuable insights can be gained and process improvements can be made by finding those points in time where behavior changed and the reasons why. Evaluation using both synthetic and real-life event data shows our technique can provide these insights.

Originele taal-2Engels
TitelData-Driven Process Discovery and Analysis
Subtitel5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised Selected Papers
RedacteurenP. Ceravolo, S. Rinderle-Ma
Plaats van productieDordrecht
UitgeverijSpringer
Pagina's54-75
Aantal pagina's22
ISBN van elektronische versie978-3-319-53435-0
ISBN van geprinte versie978-3-319-53434-3
DOI's
StatusGepubliceerd - 2017
Evenement5th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2015 - Vienna, Oostenrijk
Duur: 9 dec 201511 dec 2015
Congresnummer: 5

Publicatie series

NaamLecture Notes in Business Information Processing
Volume244
ISSN van geprinte versie18651348

Congres

Congres5th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2015
Verkorte titelSIMPDA 2015
LandOostenrijk
StadVienna
Periode9/12/1511/12/15

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Citeer dit

Hompes, B. F. A., Buijs, J. C. A. M., van der Aalst, W. M. P., Dixit, P. M., & Buurman, J. (2017). Detecting changes in process behavior using comparative case clustering. In P. Ceravolo, & S. Rinderle-Ma (editors), Data-Driven Process Discovery and Analysis: 5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised Selected Papers (blz. 54-75). (Lecture Notes in Business Information Processing; Vol. 244). Dordrecht: Springer. https://doi.org/10.1007/978-3-319-53435-0_3