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 ...
Wil M. P. van der Aalst, M. H. Schonenberg, Minseo...
In this paper, the problem of time series prediction is studied. A Bayesian procedure based on Gaussian process models using a nonstationary covariance function is proposed. Exper...
Simulation models are often not used to their full potential in the decision-making process. The default simulation strategy of simple serial replication of fixed length runs mean...
Processor is an important computing element in portable battery operated real time embedded system and it consumes most of the battery energy. Energy consumption, processor memory ...
In region surveillance applications, sensors oftentimes accumulate an overwhelmingly large amount of data, making it infeasible to process all of the collected data in real-time. ...