Financial institutions are striving to maximize benefits from the emerging digital economy. However, the decision to take such an investment option is contingent upon the "pr...
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
Constantin F. Aliferis, Ioannis Tsamardinos, Alexa...
Internet facilitates easy access to data, information, and knowledge sources available online. This provides an unprecedented opportunity to empower decision support systems with ...
Abstract. Digital radiology leads to a growing amount of medical images which impose severe demands on networking and storage resources. These requirements can be met using content...
Decision support systems that capture, preserve, and reuse implicit knowledge can greatly benefit from explicitly using context. The development of this type of system can benefit...
Johann V. Nguyen, Brian C. Becker, Avelino J. Gonz...
With development of knowledge bases (KB) there appeared expert systems that use KBs to support them in decision making process. Decision Support Systems, that are the subject of th...
Krzysztof Goczyla, Aleksander Waloszek, Wojciech W...
Abstract: The SAPHIRE project aims to develop an intelligent healthcare monitoring and decision support system on a platform integrating the wireless medical sensor data with hospi...
Andreas Hein, Oliver Nee, Detlev Willemsen, Thomas...
I present an approach to designing decision support systems. The approach is to dissect a decision from both a normative and a cognitive perspective, and then to design a diagram ...
Abstract. Designing and personalising systems for specific user groups encompasses a lot of effort with respect to analysing and understanding user behaviour. The goal of our paper...
Abstract. Due to the wide-spread use of decision support systems (DSS), methods are required by software companies. Several concepts and methods have been suggested for decision-ma...