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Data Mining Engine using Predictive Analytics

by Sakshi Rungta, Vanita Jain, Akanksha Utreja
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 5
Year of Publication: 2015
Authors: Sakshi Rungta, Vanita Jain, Akanksha Utreja
10.5120/21537-4545

Sakshi Rungta, Vanita Jain, Akanksha Utreja . Data Mining Engine using Predictive Analytics. International Journal of Computer Applications. 121, 5 ( July 2015), 22-26. DOI=10.5120/21537-4545

@article{ 10.5120/21537-4545,
author = { Sakshi Rungta, Vanita Jain, Akanksha Utreja },
title = { Data Mining Engine using Predictive Analytics },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 5 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number5/21537-4545/ },
doi = { 10.5120/21537-4545 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:07:39.880738+05:30
%A Sakshi Rungta
%A Vanita Jain
%A Akanksha Utreja
%T Data Mining Engine using Predictive Analytics
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 5
%P 22-26
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Predictive analytics is a field of data mining which extracts information from the past and use it to predict the future trends. This paper establishes the importance of predictive analysis. In this paper, we present a system to analyse user stories incorporating the data of energy and health demands of four countries – namely India, China, United States of America and Brazil; for the past 30 years, depict them graphically using Business Intelligence and finally predict the future trend of the parameters. The correlation between various entities is found out using Pearson's coefficient. Finally we can see the predicted values of 30-40 years ahead and predict the emerging trends in the form of Power View charts. We present lessons learned and future directions for improving the user in the loop workflow for predictive analytics.

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Index Terms

Computer Science
Information Sciences

Keywords

Predictive Analytics Regression Analysis Health and Energy Demands

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