Multi-Class Prediction of Weighted Support Vector Machine Based on Temporal Data

In this paper, we discuss a problem of multi-classification on temporal data. First, we present a classification model. According to the characteristic of temporal data and the need of the fact, we propose a weighted support vector multi-classification algorithm and analyze its classification performance theoretically. This algorithm introduces weight factors for samples and classes. Finally, experiments show that our proposed algorithm can effectively solve the misclassification problems and improves the correctness of multi-classification