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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

  1. Alex Beron, Stephen J. Smith, Data Warehousing, Data Mining & OLAP, Tata McGraw-Hill Edition pp336, 2004.
  2. Bryan Wiener, “Interactive Advertising Forecast (U.S.)”, Forrester Research. April 2009.
  3. G. K. Gupta, “Introduction to Data Mining with Case Studies”, Prentice-Hall of India, ed 2006
  4. IAB, “Data Usage & Control Primer”: best practices & definitions, May 2010
  5. Jiawei Han, Micheline Kamber, Data Mining Concepts and Techniques, Morgan Kaufmann Publishers pp28- 30, 451-456,ed 2006.
  6. Kurt Thearling, An Introduction to Data Mining, CSI Vol 30, Oct 2006, No. 7 pp 4-6.
  7. PricewaterhouseCoopers, “IAB Internet Advertising Revenue Report” 2013 Full-Year Results, April 2014
  8. PricewaterhouseCoopers, “IAB Internet Advertising Revenue Report” 2012 Full-Year Results, April 2013
  9. PricewaterhouseCoopers, “IAB Internet Advertising Revenue Report” 2011 Full-Year Results, March 2012
  10. PricewaterhouseCoopers, “IAB Internet Advertising Revenue Report” 2010 Full-Year Results, May 2011
  11. PricewaterhouseCoopers, “IAB Internet Advertising Revenue Report” 2009 Full-Year Results, April 2010
  12. PricewaterhouseCoopers, “IAB Internet Advertising Revenue Report” 2008 Full-Year Results, March 2009
  13. PricewaterhouseCoopers, “IAB Internet Advertising Revenue Report” 2007 Full-Year Results, May 2008
  14. PricewaterhouseCoopers, “IAB Internet Advertising Revenue Report” 2006 Full-Year Results, May 2007
  15. PricewaterhouseCoopers, “IAB Internet Advertising Revenue Report” 2005 Full-Year Results, April 2006
  16. PricewaterhouseCoopers, “IAB Internet Advertising Revenue Report” 2004 Full-Year Results, April 2005
  17. PricewaterhouseCoopers, “IAB Internet Advertising Revenue Report” 2003 Full-Year Results, April 2004
  18. PricewaterhouseCoopers, “IAB Internet Advertising Revenue Report” 2002 Full-Year Results, June 2003

Keywords

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