Intelligent Technologies for Automated Electronic Systems

Predictive Analytics - An Introduction

Author(s): J. Vijayarangam*, S. Kamalakannan and T. Karthikeyan

Pp: 53-64 (12)

DOI: 10.2174/9789815179514124010006

* (Excluding Mailing and Handling)

Abstract

Analytics is one of the front runners nowadays as we have data piling in various sizes and quantities and in a dynamic fashion too. Data Analytics and in particular, predictive analytics is a hot cake in the days of social media and social networks as we grow from data banks to data rivers. This chapter is a glimpse of the basics of analytics and a few predictive analytic models currently employed in the analytical circle like Multiple regression, logistic regression and K nearest neighbor model. As we are in the era of machine learning and artificial intelligence, having a predictive analytical tool in our toolkit is all the more necessary.


Keywords: Analytics, KNN, Logistics, Regression.

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