Abstract: Quality aspects become increasingly important while business process modeling is used in a large-scale enterprise setting. In order to facilitate a storage without redund...
Jan Mendling, Boudewijn F. van Dongen, Wil M. P. v...
This paper proposes the applications of soft computing to deal with the constraints in conventional modelling techniques of the dynamic extrusion process. The proposed technique i...
Leong Ping Tan, Ahmad Lotfi, Eugene Lai, J. B. Hul...
Abstract--We quantify the closeness of the approximation between two high-level probabilistic models of cascading failure. In one model called CASCADE, failing components successiv...
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Current research on the quality of business process models mostly discusses the quality of a model mainly in terms of correctness of its behaviour. In this paper, we discuss anoth...