Improving business process models using observed behavior

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

29 Citaten (Scopus)
2 Downloads (Pure)

Samenvatting

Process-aware information systems (PAISs) can be configured using a reference process model, which is typically obtained via expert interviews. Over time, however, contextual factors and system requirements may cause the operational process to start deviating from this reference model. While a reference model should ideally be updated to remain aligned with such changes, this is a costly and often neglected activity. We present a new process mining technique that automatically improves the reference model on the basis of the observed behavior as recorded in the event logs of a PAIS. We discuss how to balance the four basic quality dimensions for process mining (fitness, precision, simplicity and generalization) and a new dimension, namely the structural similarity between the reference model and the discovered model. We demonstrate the applicability of this technique using a real-life scenario from a Dutch municipality.
Originele taal-2Engels
TitelData-driven process discovery and analysis : Second IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2012, Campione d’Italia, Italy, June 18-20, 2012 : Revised Selected Papers
RedacteurenP. Cudre-Mauroux, P. Ceravolo, D. Gasevic
Plaats van productieBerlin
UitgeverijSpringer
Pagina's44-59
ISBN van geprinte versie978-3-642-40918-9
DOI's
StatusGepubliceerd - 2013
Evenement2nd International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2012) - Riva del Garda, Italië
Duur: 18 jun 201220 jun 2012
Congresnummer: 2
http://sesar.dti.unimi.it/SIMPDA2012/

Publicatie series

NaamLecture Notes in Business Information Processing
Volume162
ISSN van geprinte versie1865-1348

Congres

Congres2nd International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2012)
Verkorte titelSIMPDA 2012
Land/RegioItalië
StadRiva del Garda
Periode18/06/1220/06/12
AnderSecond IFIP WG 2.6, 2.12 International Symposium on Data-Driven Process Discovery and Analysis
Internet adres

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