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Removal of Image Advertisement from Web Page

by Hetal R. Parmar, Prof. Jayant Gadge
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 27 - Number 7
Year of Publication: 2011
Authors: Hetal R. Parmar, Prof. Jayant Gadge
10.5120/3316-4555

Hetal R. Parmar, Prof. Jayant Gadge . Removal of Image Advertisement from Web Page. International Journal of Computer Applications. 27, 7 ( August 2011), 1-5. DOI=10.5120/3316-4555

@article{ 10.5120/3316-4555,
author = { Hetal R. Parmar, Prof. Jayant Gadge },
title = { Removal of Image Advertisement from Web Page },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 27 },
number = { 7 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume27/number7/3316-4555/ },
doi = { 10.5120/3316-4555 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:13:07.593638+05:30
%A Hetal R. Parmar
%A Prof. Jayant Gadge
%T Removal of Image Advertisement from Web Page
%J International Journal of Computer Applications
%@ 0975-8887
%V 27
%N 7
%P 1-5
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the phenomenal growth of the web, there is an ever increasing volume of data and information published in numerous web-pages. It is said that web is noisy. A web page typically contains a mixture of many kind of information e.g. main contains, advertisements, navigational panels, copy right blocks etc… for a particular application only part of information is useful and the rest are noise. These all seriously harm web mining. Advertisements and Sponsor images are not much important in surfing. As there is a need of technique that keep common navigation structure as it is but removes image advertisement and improve surfing efficiency. In this paper a small application HTML Tag Differentiator is created which removes image advertisement using rule based classifier.

References
  1. Web Mining http://www.cs.ualberta.ca/~tszhu/webmining.htm
  2. Learning To remove Internet Advertisement, Nicholas Kashmerick 3rd Int. Conf. of Autonomous Agent, 1999
  3. Filtering the Web using WebFilter http://www-math.uni-paderborn.de/~axel/NoShit/
  4. Lan Yi, Bing Liu, Xiaoli Li “Eliminating Noisy Information in Web Pages for Data Mining,” ACM SIGKDD ’03, pp.,1-10,August 24-27, 2003.
  5. Viktor Krammer “An Effective Defense against Intrusive Web Advertising,” IEEE Sixth Annual Conference on Privacy, Security and Trust, pp. 3-14, 2008.
  6. Neil C. Rowe, Jim Coffman, Yilmaz Degirmenci “Automatic Removal of Advertising from Web-Page Display,” ACM JCDL’02, pp.406, July 13-17, 2002.
  7. Web Banner - Wikipedia http://en.wikipedia.org/wiki/Banner_advertising
  8. Editorial: Special Issue on Web Content Mining SIGKDD Explorations. Volume 6,Issue 2 - Page 1, 2003
  9. Why Block Ads? http://feh.net/adblock/adblock.shtml
Index Terms

Computer Science
Information Sciences

Keywords

Image Advertisement HTML Tag Differentiator Rule Based Classifier Web Content Mining

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