Feature Selection Algorithm for Improving the Performance of Classification: A Survey

With the rapid development of the Computer Science and Technology, It has become a major problem for the users that how to quickly find useful or needed information. Data mining can be seen as an area of artificial intelligence that seeks to extract information or patterns from large amounts of data stored in databases. Recent researches on feature selection have been conducted in an attempt to find efficient methods for selection of relevant features. Feature selection generally involves a combination of search and attributes utility estimation plus evaluation with respect to specific learning schemes. There are several methods to select features in ensembles systems and genetic algorithms (GA) are one of the most used methods. This paper gives overview of feature selection Algorithm which searches the feature space using the idea of evolutionary computation, in order to find the optimal feature subset.