CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

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

by Shilpi Bansal, B. K. Sharma
journal cover thumbnail

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.

References
  1. Alex Beron, Stephen J. Smith, Data Warehousing, Data Mining & OLAP, Tata McGraw-Hill Edition pp336, 2004.
  2. Jiawei Han, Micheline Kamber, Data Mining Concepts and Techniques, Morgan Kaufmann Publishers pp28-30, 451-456,ed 2006.
  3. Bryan Wiener, "Interactive Advertising Forecast (U. S. )", Forrester Research. April 2009.
  4. IAB,"DATA USAGE & CONTROL PRIMER: best practices & definitions, May 2010
  5. Kurt Thearling, An Introduction to Data Mining , CSI Vol 30, Oct 2006, No. 7 pp 4-6.
  6. Bhavani Thira-is-ingham, Data- Mining Technoloies, Techniques Tools & Trends, CRC Press pp166
  7. Millward Brown, 'IAB Research Case Study on Digital Video Advertising Effectiveness",December 2008
  8. PricewaterhouseCoopers, "IAB Internet Advertising Revenue Report" 2010 First Half-Year Results
  9. PricewaterhouseCoopers, "IAB Internet Advertising Revenue Report" 2009 Full-Year Results, April 2010
  10. PricewaterhouseCoopers, "IAB Internet Advertising Revenue Report" 2008 Full-Year Results, March 2009
  11. PricewaterhouseCoopers, "IAB Internet Advertising Revenue Report" 2007 Full-Year Results, May 2008
  12. PricewaterhouseCoopers, "IAB Internet Advertising Revenue Report" 2006 Full-Year Results, May 2007
  13. PricewaterhouseCoopers, "IAB Internet Advertising Revenue Report" 2005 Full-Year Results, April 2006
  14. PricewaterhouseCoopers, "IAB Internet Advertising Revenue Report" 2004 Full-Year Results, April 2005
  15. PricewaterhouseCoopers, "IAB Internet Advertising Revenue Report" 2003 Full-Year Results, April 2004
  16. PricewaterhouseCoopers, "IAB Internet Advertising Revenue Report" 2002 Full-Year Results, June 2003
  17. PricewaterhouseCoopers, "IAB Internet Advertising Revenue Report" 2001 Full-Year Results, June 2002
  18. PricewaterhouseCoopers, "IAB Internet Advertising Revenue Report" 2000 Full-Year Results, April 2001
  19. G. K. Gupta, "Introduction to Data Mining with Case Studies", Prentice-Hall of India, ed 2006
  20. C. R. Kothari, "Research Methodology Methods & Techniques", Wishwa Prakashan Louisa Ha, "Crossing Offline and Online Media: A Comparison of Online Advertising on "Web Sites and Online Portals" Journal of Interactive Advertising, Vol 3 No 2 (Spring 2003), pp. 24-35
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Clustering Knowledge Discovery Information Technology E- Advertisement

Powered by PhDFocusTM