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What is SVM Kernels

Chapter 11
Managerial Perspectives on Intelligent Big Data Analytics
SVM algorithms use a set of mathematical functions called kernel which take data as input and transform it into the required form.
Published in Chapter:
Analysis of Cutting-Edge Regression Algorithms Used for Data Analysis
Indivar Mishra (KIIT University, India), Ritwik Bandyopadhyay (KIIT University, India), Sourish Ghosh (KIIT University, India), and Aleena Swetapadma (KIIT University, India)
Copyright: © 2019 |Pages: 15
DOI: 10.4018/978-1-5225-7277-0.ch011
Abstract
Considering the growing applications of big data analytics in the various fields such as healthcare, finance, e-commerce, and web services, it is essential to continuously develop techniques useful for big data. Among various techniques used for big data analytics, regression analysis is very important. In this chapter, an attempt is made to take a detailed look into some of the main regression algorithms and their origin that are used for big data analytics. In this study, some of very famous works related to regression along with some latest research are analyzed. Regression is the process of deducing a predictive model for real-world information based on verified information that is already received. It is used for making predictions, optimizing solutions to complex problems, and understands trends in large and big data analytics. The goal of this study is to promote and facilitate a better understanding of regression algorithms that are in use in the real world for big data analytics.
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