In recent years, Support Vector Machines (SVMs) were successfully applied to a wide range of applications. Their good performance is achieved by an implicit non-linear transformation of the original problem to a high-dimensional (possibly infinite) feature space in which a linear decision...

Data mining involves extracting interesting patterns from data and can be found at the heart of operational research (OR), as its aim is to create and enhance decision support systems. Even in the early days, some data mining approaches relied on traditional OR methods such as linear programming...

Table of contents Neo-classical reengeneering: Returning to the promise of process in the post-Internet economy M. De Kegel and M. McDonald Towards an integrative framework for software architecture R. Maes and G. Dedene Component based development. From dinosaurs to small, adaptive,...