This paper describes two experiments exploring the potential of the Kriging methodology for constrained simulation optimization. Both experiments study an (s, S) inventory system ...
William E. Biles, Jack P. C. Kleijnen, Wim C. M. V...
Background: Cluster analyses are used to analyze microarray time-course data for gene discovery and pattern recognition. However, in general, these methods do not take advantage o...
Hua Liu, Sergey Tarima, Aaron S. Borders, Thomas V...
Federated simulations address the need for interoperability, as well as the improvement of reuse and composability of existing simulation models. The focal goal in a federated sim...
Queries issued by casual users or specialists exploring a data set often point us to important subsets of the data, be it clusters, outliers or other features of particular import...
In this paper we explore the applicability of an algorithm designed for finding association rules in large databases to the discovery of relevant associations from a large case ba...
Trevor J. M. Bench-Capon, Frans Coenen, Paul H. Le...