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blogs:pub2008:evaluating_the_quality_of_discovered_process_models [2009/05/25 13:45] (current)
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 +====== Evaluating the Quality of Discovered Process Models ======
  
 +A. Rozinat, M. Veloso and W.M.P. van der Aalst. \\
 +//In W. Bridewell, T. Calders, A.K. de Medeiros, S. Kramer, M. Pechenizkiy,​ L. Todorovski (Eds.), Proceedings of Induction of Process Models (IPM workshop at ECML PKDD 2008, September 15). (pp. 45-52). Antwerp, Belgium.//​\\
 +
 +===== Abstract =====
 +
 +In the domain of //process mining// the evaluation of models (i.e., ``How can we measure the quality of a mined process model?''​) is still subject to ongoing research. Because the types of models used in process mining are typically on a higher level of abstraction ​
 +(they, for example, allow to capture concurrency),​
 +the problem of model evaluation is challenging. ​
 +In this paper, we elaborate on the problem of process model evaluation, and we evaluate both new and existing //fitness// metrics for different levels of noise. ​
 +The new metrics and the noise generation are based on Hidden Markov Models (HMMs). ​
 +
 +
 +===== Links =====
 +
 +{{publications:​ipm08.pdf|Download PDF}} (534 KB)