Research on the Redundancy Data Classification Optimization Algorithm under the Big Data of Network

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.