Time Series Petri Net Models - Enrichment and Prediction

摘要

Operational support as an area of process mining aims to predict theudtemporal performance of individual cases and the overall business process. Althoughudseasonal effects, delays and performance trends are well-known to existudfor business processes, there is up until now no prediction model available thatudexplicitly captures this. In this paper, we introduce time series Petri net models.udThese models integrate the control flow perspective of Petri nets with time seriesudprediction. Our evaluation on the basis of our prototypical implementation demonstratesudthe merits of this model in terms of better accuracy in the presence of timeudseries effects.