Feature selection is an important preprocessing step in machine learning and pattern
recognition. Recent years, various information theoretic based measurements have been …

Feature Selection is one of the preprocessing steps in machine learning tasks. Feature
Selection is effective in reducing the dimensionality, removing irrelevant and redundant …

While extensive research in data mining has been devoted to developing better feature
selection techniques, none of this research has examined the intrinsic relationship between …

With the advent of high dimensionality, adequate identification of relevant features of the
data has become indispensable in real-world scenarios. In this context, the importance of …

Feature ranking and feature selection algorithms may roughly be divided into three types.
The first type encompasses algorithms that are built into adaptive systems for data analysis …