2011
DOI: 10.1016/j.is.2010.09.001
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Abstract: Abstract. Process mining allows for the automated discovery of process models from event logs. These models provide insights and enable various types of model-based analysis. This paper demonstrates that the discovered process models can be extended with information to predict the completion time of running instances. There are many scenarios where it is useful to have reliable time predictions. For example, when a customer phones her insurance company for information about her insurance claim, she can be give… Show more

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Cited by 384 publications
(283 citation statements)
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“…The approach for predicting remaining process time proposed by van der Aalst et al [18] is based on building an annotated transition system and estimating the average remaining time of cases that visited the same state previously. In contrast, our approach predicts the likelihood of case delay rather than the remaining execution time.…”
Section: Related and Previous Workmentioning
confidence: 99%
“…The approach for predicting remaining process time proposed by van der Aalst et al [18] is based on building an annotated transition system and estimating the average remaining time of cases that visited the same state previously. In contrast, our approach predicts the likelihood of case delay rather than the remaining execution time.…”
Section: Related and Previous Workmentioning
confidence: 99%
“…Given the current state of a case, the model is used to make some kind of prediction [3,6]. For example, given the A, B trace it could be predicted that the remaining processing time is ten days.…”
Section: Recommendmentioning
confidence: 99%
“…This has been implemented in ProM and time-based predictions and recommendations are given by learning a transition system annotated with time information [6]. The focus in [3] is restricted to individual cases and temporal aspects.…”
Section: Conclusion and Further Readingmentioning
confidence: 99%
“…Many authors have proposed techniques to relate specific characteristics in an ad-hoc manner. For example, several approaches have been proposed to predict the remaining processing time of a case depending on characteristics of the partial trace executed [1][2][3]. Other approaches are only targeted to correlating certain predefined characteristics to the process outcome [4][5][6] or the violations of business rules [7].…”
Section: Introductionmentioning
confidence: 99%