Beyond process mining : from the past to present and future

W.M.P. Aalst, van der, M. Pesic, M.S. Song

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureHoofdstukAcademic

73 Citaten (Scopus)
1 Downloads (Pure)


Traditionally, process mining has been used to extract models from event logs and to check or extend existing models. This has shown to be useful for improving processes and their IT support. Process mining based on historic information hidden in event logs often provides surprising insights for managers, system developers, auditors, and end users. However, thus far, process mining is mainly used in an offline fashion and not for operational decision support. While existing process mining techniques focus on the process as a whole, this paper focuses on individual process instances (cases) that have not yet completed. For these running cases, process mining can used to check conformance, predict the future, and recommend appropriate actions. This paper presents a framework for operational support using process mining and details a coherent set of approaches that focuses on time information. Time-based operational support can be used to detect deadline violations, predict the remaining processing time, and recommend activities that minimize flow times. All of this has been implemented in ProM and initial experiences using this toolset are reported in this paper.
Originele taal-2Engels
TitelAdvanced Information Systems Engineering (22nd International Conference, CAiSE 2010, Hammamet, Tunisia, June 7-9, 2010. Proceedings)
RedacteurenB. Pernici
Plaats van productieBerlin
ISBN van geprinte versie978-3-642-13093-9
StatusGepubliceerd - 2010
Evenement22nd International Conference on Advanced Information Systems Engineering (CAiSE 2010) - Hammamet, Tunesië
Duur: 7 jun 20109 jun 2010
Congresnummer: 22

Publicatie series

NaamLecture Notes in Computer Science


Congres22nd International Conference on Advanced Information Systems Engineering (CAiSE 2010)
Verkorte titelCAiSE '10

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