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P234 - EMISA 2014 - Enterprise Modelling and Information Systems Architectures

https://dl.gi.de/handle/20.500.12116/21079
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Auflistung P234 - EMISA 2014 - Enterprise Modelling and Information Systems Architectures nach Autor:in "Breuker, Dominic"

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  • Konferenzbeitrag
    Designing and implementing a framework for event-based predictive modelling of business processes
    (Enterprise modelling and information systems architectures - EMISA 2014, 2014) Becker, Jörg; Breuker, Dominic; Delfmann, Patrick; Matzner, Martin
    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.
  • Konferenzbeitrag
    Outlining a graphical model query approach based on graph matching
    (Enterprise modelling and information systems architectures - EMISA 2014, 2014) Breuker, Dominic; Dietrich, Hanns-Alexander; Steinhorst, Matthias; Delfmann, Patrick
    This paper outlines a graphical model query approach based on graph matching. It consists of a graphical query specification language and a matching algorithm based on graph matching that takes the query as input and returns all matches found in a model to be searched. The graphical query specification language can be used to draw model queries much like a model would be constructed. To achieve applicability in many different model analysis scenarios, the query approach provides structurally exact and structurally similar pattern matching as well as semantic comparison of model node and edge contents. Following a design science research process, we derive functional requirements for the query language and matching algorithm from the literature, outline its syntax, formally specify its matching principle, and demonstrate its functionality by providing a working prototype implementing previously identified requirements.