This paper argues that the sometimes-conflicting results of a modern revisionist literature on data mining in … econometrics. The organising principle for this discussion of data mining is a philosophical spectrum that sorts the various …-to-specific (G-S) methods. To set the stage for this exploration the paper starts with a description of data mining, its potential …

. In this paper we question this conventional wisdom. Our analysis shows that neither data mining nor parameter instability …

lexicographic way, a categorization process that is implemented by the means of data mining techniques. The second aspect is the … this social process is that of evolutionary game theory, with a population of agents who are randomly matched in each …

different communities such as statistics, data mining, soft computing, and engineering. This is due to the prospective benefits …

little literature in the data mining fields, even though zero-inflated data could be easily found in real application fields … variable with decision trees as one of data mining techniques, we use F-statistics (CHAID) or variance reduction (CART …

more substantial data mining application is also given, illustrating the ability of the procedure to scale to a very large …

decision parameters that affect the feasibility analysis, data mining techniques are applied to analyse the Go/No Go decision …-making process in infrastructure projects. The data mining analysis uses PFS data obtained from large-scale infrastructure projects …