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A Regression Modeling Technique on Data Mining

by Swati Gupta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 9
Year of Publication: 2015
Authors: Swati Gupta
10.5120/20365-2570

Swati Gupta . A Regression Modeling Technique on Data Mining. International Journal of Computer Applications. 116, 9 ( April 2015), 27-29. DOI=10.5120/20365-2570

@article{ 10.5120/20365-2570,
author = { Swati Gupta },
title = { A Regression Modeling Technique on Data Mining },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 9 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 27-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume116/number9/20365-2570/ },
doi = { 10.5120/20365-2570 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:56:39.186100+05:30
%A Swati Gupta
%T A Regression Modeling Technique on Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 9
%P 27-29
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A regression algorithm estimates the value of the target (response) as a function of the predictors for each case in the build data. These relationships between predictors and target are summarized in a model, which can then be applied to a different data set in which the target values are unknown. In this paper, we have discussed the formulation of linear regression technique, along with that linear regression algorithm have been designed, further test data are taken to prove the linear regression algorithm.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Linear regression dependent variable independent variables predictor variable response variable

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