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

Shilpi, B.K. Sharma. Published in Information Sciences

Prediction of preferred Advertising Formats in e-Advertisements by using Data Mining Techniques
International Journal of Applied Information Systems
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Series: Volume 10 Number 6
Authors: Shilpi, B.K. Sharma
10.5120/ijais2016451520
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  1. Shilpi and B K Sharma. Article: Prediction of preferred Advertising Formats in e-Advertisements by using Data Mining Techniques. International Journal of Applied Information Systems 10(6):27-32, March 2016. BibTeX

    @article{key:article,
	author = "Shilpi and B.K. Sharma",
	title = "Article: Prediction of preferred Advertising Formats in e-Advertisements by using Data Mining Techniques",
	journal = "International Journal of Applied Information Systems",
	year = 2016,
	volume = 10,
	number = 6,
	pages = "27-32",
	month = "March",
	note = "Published by 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.

Reference

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Keywords

Data Mining, Clustering, e- advertisement, Ads formats.