关键词: 特征选择, 集成方法, 支持向量机, 遗传算法, ReliefF算法

Abstract:

With the rapid development of computer and network technology, the emergences of large data sets make the amount of information people obtain increases at an unprecedented speed. How to obtain useful information quickly are becoming people’s concerns. To solve the problem, we study on feature selection and ensemble classifiers based on support vector machine which has good generalization ability. Using RGS algorithm that has higher classification results and the technique of ensemble classifiers, RGSE algorithm is proposed. Finally, experiments demonstrate the correctness of the algorithm.

Key words: feature selection;ensemble classifiers;support vector machine;genetic algorithm;ReliefF algorithm