The objective of data mining is the extraction of knowledge from databases. In practice, one often encounters … difficulties with models that are constructed purely by search, without incorporation of knowledge about the domain of application …

The assessment of knowledge derived from databases depends on many factors. Decision makers often need to convince … others about the correctness and effectiveness of knowledge induced from data.The current data mining techniques do not … contribute much to this process of persuasion.Part of this limitation can be removed by integrating knowledge from experts in the …

of those choices, namely, subunit interdependencies and knowledge transfer costs.We test our predictions with a …

This paper revisits the important result of the real options approach to investment under uncertainty, which states … that increased uncertainty raises the value of waiting and thus decelerates investment.Typically in this literature … that investment projects are usually considered to have a .nite life.The present paper studies investment projects with …

This paper considers an investment timing problem in a duopoly framework. The results of the seminal contribution by … scenario we have a preemption equilibrium with dispersed investment timing, while in the second scenario an equilibrium with … joint investment prevails. In the third scenario preemption holds in case uncertainty is low, and joint investment is the …

For decision makers the variability in the net present value (NPV) of an investment project is an indication of the … project's risk. So-called risk analysis is one way to estimate this variability. However, risk analysis requires knowledge … about the stochastic character of the inputs. For large, longterm investment projects (such as energy infrastructures …