In the immediate aftermath of a disaster routine processes, even if specifically designed for such a situation, are not enacted blindly. Actions and processes rather adapt their be...
Abstract. Business process modeling is an important corporate activity, but the understanding of what constitutes good process models is still rather limited. In this paper, we tur...
Irene T. P. Vanderfeesten, Hajo A. Reijers, Jan Me...
This study develops a least squares support vector machines (LS-SVM) based model for bivariate process to diagnose abnormal patterns of process mean vector, and to help identify a...
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...