Visualization of Feature Engineering Strategies for Predictive Analytics

Saggurthi Kishor Babu and S. Vasavi
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Saggurthi Kishor Babu: Andhra Loyola Institute of Engineering and Technology, Vijayawada, India
S. Vasavi: VR Siddhartha Engineering College, Vijayawada, India

International Journal of Natural Computing Research (IJNCR), 2018, vol. 7, issue 4, 20-44

Abstract: Predictive analytics can forecast trends, determines statistical probabilities and to act upon fraud and security threats for big data applications. Predictive analytics as a service (PAaaS) framework based upon ensemble model that uses Gaussian process with varying hyper parameters, Artificial Neural Networks, Auto Regression algorithm and Gaussian process is discussed in the authors' earlier works. Such framework can make in-depth statistical insights of data that helps in decision making process. This article reports the presentation layer of PAaaS for real time visualization and analytical reporting of these statistical insights. Result from various feature engineering strategies for predictive analytics is visualized in specific to type of feature engineering strategy and visualization technique using Tableau.

Date: 2018
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