We review the problem of time-critical action and discuss a reformulation that shifts knowledge acquisition from the assessment of complex temporal probabilistic dependencies to t...
Incremental conceptual clustering is an important area of machine learning. It is concerned with summarizing data in a form of concept hierarchies, which will eventually ease the ...
Purpose – The purpose of this paper, drawing as it does on earlier research, is to provide the context for a discussion on the use of rewards and recognition programmes in knowl...
Abstract— The ability to prevent risks as well as to appropriately counteract occurring threats has increasingly become a crucial success factor. Traditional business process man...
Gernot Goluch, Andreas Ekelhart, Stefan Fenz, Stef...
—Automatic service and application deployment and management is becoming possible through the use of service and infrastructure discovery and policy systems. But using the infras...
Robert Adams, Ricardo Rivaldo, Guilherme Germoglio...