A Comparative study of SVM and SSVM in Big Data Analytics

A Comparative study of SVM and SSVM in Big Data Analytics

Parameswari.K, Keerthi.R

Parameswari.K, Keerthi.R "A Comparative study of SVM and SSVM in Big Data Analytics" Published in International Journal of Trend in Research and Development (IJTRD), ISSN: 2394-9333, Special Issue | NCIRCC-17 , April 2017, URL: http://www.ijtrd.com/papers/IJTRD8437.pdf

Data analytics is the backbone of all the business today. No business can survive without analyzing the data available. Why Big Data? The Big data analytics bring speed and accuracy. The term Big data is applicable to all the information that can no longer be handled by the traditional techniques. Statistical analysis is widely used analytical tool. In that Support vector machine is most powerful and widely used machine learning technique for classification. But it is not suitable for large dataset because of its complexity in the algorithm. We can apply the SVM to large data set with smoothing technique which is called Smooth Support Vector Machine. In this paper, we have focused on a detailed survey about the different algorithm applied on the Big data analytics and also done a comparative study of SVM and SSVM.

Smoothing, Newton Armijo Algorithm, Statistical analysis.

Special Issue | NCIRCC-17 , April 2017


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