Article2007

The need for a process mining evaluation framework in research and practice: position paper

Anne Rozinat · Ana Karla Alves de Medeiros · Christian Günther · Ton Weijters · Wil M. P. van der Aalst

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Business Process Modeling and Analysis Software Testing and Debugging Techniques Data Mining Algorithms and Applications

Abstract

Abstract. Although there has been much progress in developing process mining algorithms in recent years, no effort has been put in developing a common means of assessing the quality of the models discovered by these algorithms. In this paper, we motivate the need for such an evaluation mechanism, and outline elements of an evaluation framework that is intended to enable (a) process mining researchers to compare the performance of their algorithms, and (b) end users to evaluate the validity of their process mining results. 1

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References

2004Workflow mining: discovering process models from event logs 2007Conformance checking of processes based on monitoring real behavior 2003Workflow mining: A survey of issues and approaches 1998Discovering models of software processes from event-based data 1998Mining process models from workflow logs 2006Business process mining: An industrial application 2003Rediscovering workflow models from event-based data using little thumb 2005Genetic Process Mining

Cited by

2014Improving the quality of the Heuristics Miner in ProM 6.2 2011A Critical Evaluation Study of Model-Log Metrics in Process Discovery 2013Hierarchical Conformance Checking of Process Models Based on Event Logs 2015Efficient Process Model Discovery Using Maximal Pattern Mining 2011A Study of Quality and Accuracy Trade-offs in Process Mining 2010Petri-net integration – An approach to support multi-agent process mining

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