Time prediction based on process mining

12 years 4 months ago
Time prediction based on process mining
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 given an estimate for the remaining processing time. In order to do this, we provide a configurable approach to construct a process model, augment this model with time information learned from earlier instances, and use this to predict e.g. the completion time. To provide meaningful time predictions we use a configurable bstractions that allow for a good balance between “overfitting” and “underfitting”. The approach has been implemented in ProM and through several experime...
Wil M. P. van der Aalst, M. H. Schonenberg, Minseo
Added 14 May 2011
Updated 14 May 2011
Type Journal
Year 2011
Where IS
Authors Wil M. P. van der Aalst, M. H. Schonenberg, Minseok Song
Comments (0)