Bài báo khoa học

Feature selection is a technique of selecting a subset of relevant and related features from the original dataset by eliminating noise and redundant features in order to increase performance as well as reduce internal costs in the data mining or machine learning process, This paper proposed a new data classification method based on approximate functional dependence and error measure g3, The classification experiments on the actual datasets indicate the appropriate of the research direction