The fuzzy support vector machine (SVM) algorithm is proposed under the large data of network redundancy data classification optimization method. Extract the network under the environment of large data redundancy data attributes

providing accurate data basis for redundant data classification. According to the related theory

fuzzy support vector machine (SVM) to obtain the optimal classification plane

so as to realize optimization of redundant data classification. The experimental results show that the improved algorithm under the large data of network optimization of redundant data classification

can improve the accuracy of classification

satisfactory results have been achieved.