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Application of Data Mining to Explore Effective Utilization of E- Advertisements in Various Industries

by Shilpi Bansal, B. K. Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 22
Year of Publication: 2012
Authors: Shilpi Bansal, B. K. Sharma
10.5120/6408-8738

Shilpi Bansal, B. K. Sharma . Application of Data Mining to Explore Effective Utilization of E- Advertisements in Various Industries. International Journal of Computer Applications. 44, 22 ( April 2012), 1-8. DOI=10.5120/6408-8738

@article{ 10.5120/6408-8738,
author = { Shilpi Bansal, B. K. Sharma },
title = { Application of Data Mining to Explore Effective Utilization of E- Advertisements in Various Industries },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 22 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number22/6408-8738/ },
doi = { 10.5120/6408-8738 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:36:23.833737+05:30
%A Shilpi Bansal
%A B. K. Sharma
%T Application of Data Mining to Explore Effective Utilization of E- Advertisements in Various Industries
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 22
%P 1-8
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

E-advertisement data mining can facilitate to identify advertisers and customers buying behaviors, discover customer impressive patterns and trends, improve the quality of e-advertisements, better utilization of e-ads in various industrial sectors, achieve better cost effective methods and enhance more effective ad-formats. The use of IT application like SQL query and data mining softwares are providing the e-advertisement related information i. e. product analysis, trends analysis, product promotion, demand forecasting, and new product development. This paper gives brief view about various advertiser Industry trends. Various sector wise e-advertisement related data from 2001 to 2010 have been collected and applied the tools and technique of data mining for finding similar cluster. Subsequently, statistical technique has been applied on similar cluster for predicting ratio of expenditures in e-advertisements by various industrial sectors. Effective use of data mining will ear mark of e-advertisement in various industries like consumer service, retail, auto, travel, computing, media, financial service, telecommunication etc.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Clustering Knowledge Discovery Information Technology E- Advertisement

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