A general framework for boosting feature subset selection algorithms

The proposed approach opens a new field of research in which to apply the many techniques developed for boosting classifiers. Using 120 datasets, the experiments reported show a clear improvement in several state-of-the-art feature selection algorithms using the proposed methodology.