A positive view of data-mining has been recently presented in a Journal of Economic Methodology ( JEM ) symposium. This … literature and the impact of data revision extends the analysis of data-mining. Introduction of these issues is seen to provide …

this gap will be raised. A theme of this paper is how recent trends in knowledge discovery and data mining (KDD) may be …

data mining systems is high classification or prediction accuracy, the user may be interested in rules which are not …. When the rules to be tested come from a human expert, the method can be viewed as a verification-based data mining method …. If the rules are generated by another (discovery-based) data mining method (such as a decision-tree algorithm), the …

-of-sample' data for predictive testing. Avoidance of data-mining is neither possible nor desirable. In economics out-of-sample data is … reliable knowledge. Avoidance of data-mining is not a substitute for tests conducted in new samples. The problem is not that … data-mining corrupts the process, the problem is our collective neglect of out-of-sample encompassing, stability and …

We maintain that the actions of researchers show that data mining is a necessary part of econometric inquiry. We …' approach to data mining as promoted by Hoover and Perez can be valuable but it is premature to eliminate other strategies. …

Data mining occurs because most economic hypotheses do not have a unique empirical interpretation but allow the …