Abstract
This paper studies a multi-classification method based on support vector machine for temporal data. First, we give classic classification model of support vector machine. Then, we present a support vector machine model based on multi-weighted values, which is used to deal with multi-classification problems of temporal data. We define temporal type and prediction model for the temporal data. According to the temporal type model and the support vector machine model based on multi-weighted values, we propose a multi-classification method based on the support vector machine. Finally, experiments results show that our method can effectively solve the misclassification problems of temporal data.
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© 2007 Springer-Verlag Berlin Heidelberg
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Meng, Z., Peng, L., Zhou, G., Zhu, Y. (2007). A Multi-classification Method of Temporal Data Based on Support Vector Machine. In: Wang, Y., Cheung, Ym., Liu, H. (eds) Computational Intelligence and Security. CIS 2006. Lecture Notes in Computer Science(), vol 4456. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74377-4_26
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DOI: https://doi.org/10.1007/978-3-540-74377-4_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74376-7
Online ISBN: 978-3-540-74377-4
eBook Packages: Computer ScienceComputer Science (R0)