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Prediction of preferred Advertising Formats in e-Advertisements by using Data Mining Techniques

by Shilpi, B.K. Sharma
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 6
Year of Publication: 2016
Authors: Shilpi, B.K. Sharma
10.5120/ijais2016451520

Shilpi, B.K. Sharma . Prediction of preferred Advertising Formats in e-Advertisements by using Data Mining Techniques. International Journal of Applied Information Systems. 10, 6 ( March 2016), 27-32. DOI=10.5120/ijais2016451520

@article{ 10.5120/ijais2016451520,
author = { Shilpi, B.K. Sharma },
title = { Prediction of preferred Advertising Formats in e-Advertisements by using Data Mining Techniques },
journal = { International Journal of Applied Information Systems },
issue_date = { March 2016 },
volume = { 10 },
number = { 6 },
month = { March },
year = { 2016 },
issn = { 2249-0868 },
pages = { 27-32 },
numpages = {9},
url = { https://www.ijais.org/archives/volume10/number6/872-2016451520/ },
doi = { 10.5120/ijais2016451520 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:02:46.342248+05:30
%A Shilpi
%A B.K. Sharma
%T Prediction of preferred Advertising Formats in e-Advertisements by using Data Mining Techniques
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 10
%N 6
%P 27-32
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

e-Advertisements are extraordinarily cost effective due to targeted and focused marketing, nominal wastage, increasing customer-base and unmatched tracking capabilities. Internet enables instinctive two-way relationship with the larger target customers. The use of IT applications and data mining softwares are providing e-advertisement related information specifically product analysis, product promotion, demand forecasting, trends analysis and new product development. This paper gives brief view about various advertising format trends. Various Advertisement formats related data of e-advertisement from 2002 to 2014 have been collected and applied the tools and techniques of data mining for finding similar cluster. Subsequently, statistical techniques have been applied on similar cluster for predicting preferred advertising formats in e-ads. Effective use of data mining plays a vital role in Ads formats like Search, Rich Media Display Banners, Classifieds, Lead Generation & Digital Video, Sponsorship etc in e-advertisements.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Clustering e- advertisement Ads formats.

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