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Designing and implementing a framework for event-based predictive modelling of business processes

Author:
Becker, Jörg [DBLP] ;
Breuker, Dominic [DBLP] ;
Delfmann, Patrick [DBLP] ;
Matzner, Martin [DBLP]
Abstract
Applying predictive modelling techniques to event data collected during business process execution is receiving increasing attention in the literature. In this paper, we present a framework supporting real-time prediction for business processes. After fitting a probabilistic model to historical event data, the framework can predict how running process instances will behave in the near future, based on the behaviour seen so far. The probabilistic modelling approach is carefully designed to deliver comprehensible results that can be visualized. Thus, domain experts can judge the predictive models by comparing the visualizations to their experience. Model analysis techniques can be applied if visualizations are too complex to be understood entirely. We evaluate the framework's predictive modelling component on real-world data and demonstrate how the visualization and analysis techniques can be applied.
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Becker, J., Breuker, D., Delfmann, P. & Matzner, M., (2014). Designing and implementing a framework for event-based predictive modelling of business processes. In: Feltz, F., Mutschler, B. & Otjacques, B. (Hrsg.), Enterprise modelling and information systems architectures - EMISA 2014. Bonn: Gesellschaft für Informatik e.V.. (S. 71-84).
@inproceedings{mci/Becker2014,
author = {Becker, Jörg AND Breuker, Dominic AND Delfmann, Patrick AND Matzner, Martin},
title = {Designing and implementing a framework for event-based predictive modelling of business processes},
booktitle = {Enterprise modelling and information systems architectures - EMISA 2014},
year = {2014},
editor = {Feltz, Fernand AND Mutschler, Bela AND Otjacques, Benoît} ,
pages = { 71-84 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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More Info

ISBN: 978-3-88579-628-2
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2014
Language: en (en)
Content Type: Text/Conference Paper
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  • P234 - EMISA 2014 - Enterprise Modelling and Information Systems Architectures [12]

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Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.