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Reseach Article

Automatic Classification of Web Pages using Back Propagation

Published on December 2015 by Poonam Nagale, Arti Waghmare
National Conference on Advances in Computing
Foundation of Computer Science USA
NCAC2015 - Number 4
December 2015
Authors: Poonam Nagale, Arti Waghmare
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Poonam Nagale, Arti Waghmare . Automatic Classification of Web Pages using Back Propagation. National Conference on Advances in Computing. NCAC2015, 4 (December 2015), 10-14.

@article{
author = { Poonam Nagale, Arti Waghmare },
title = { Automatic Classification of Web Pages using Back Propagation },
journal = { National Conference on Advances in Computing },
issue_date = { December 2015 },
volume = { NCAC2015 },
number = { 4 },
month = { December },
year = { 2015 },
issn = 0975-8887,
pages = { 10-14 },
numpages = 5,
url = { /proceedings/ncac2015/number4/23378-5044/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Computing
%A Poonam Nagale
%A Arti Waghmare
%T Automatic Classification of Web Pages using Back Propagation
%J National Conference on Advances in Computing
%@ 0975-8887
%V NCAC2015
%N 4
%P 10-14
%D 2015
%I International Journal of Computer Applications
Abstract

Word Wide Web is huge repository of information. So there is tremendous growth in internet access by the user. To fulfill the requirement of numerous users, new sites are launched by the companies in the market every day. In previous we have to use conditional filtering to avoid illegal sites in campus. For that we have to manually provide that link to be blocked and also to keep proxy on such link, we have to pay for service. The manual categorization of links is possible as it is designed for humans only but it requires lots of man power also needs extra care while clustering. So, it's quite boring job. To overcome these problems we had designed a system which causes automatic categorization web links with the help of artificial neural networks (ANN).

References
  1. Inma Hernndez, Carlos R. Rivero , David Ruiz , Rafael Corchuelo, "CALA: An unsupervised URL-based web page classification system", 2013 Elsevier B. V. http://dx. doi. org/10. 1016/j. knosys. 2013. 12. 019
  2. Indre Zliobait e and BogdanGabrys, Adaptive Preprocessing for Streaming Data,IEEEtransactions on knowledge and data engineering, vol. 26, no. 2, February 2014.
  3. Rahul Isola, Rebeck Carvalho, Amiya Kumar Tripathy,"Knowledge Discovery in Medical Systems Using Differential Diagnosis, LAMSTAR, and k-NN", IEEE transactions on information technology in biomedicine, vol. 16, no. 6, November 2012.
  4. S. M. Kamruzzaman (Jan 2006)'Web Page Categorization Using Artificial Neural Networks'Proceedings of the 4th International Conference on Electrical Engineering & 2nd Annual Paper Meet 26-28 January, 2006
  5. Aijun An and Xiangji Huang, "Feature selection with rough sets for web page categorization", York University, Toronto, Ontario, Canada.
  6. Dou Shen, Zheng Chen, Qiang Yang, Hua-Jun Zeng, Benyu Zhang, Yuchang Lu, Wei-Ying Ma, (Jully 2004)' Web-page Classification through Summarization' SIGIR'04, July 25–29, 2004, Sheffield, South Yorkshire, UK. Copyright 2004 ACM 1-58113-881-4/04/0007
  7. Arul Prakash Asirvatham Kranthi Kumar. Ravi,' Web Page Classification based on Document Structure' International Institute of Information Technology Hyderabad, INDIA 500019.
  8. Makoto Tsukada, Takashi Washio, Hiroshi Motoda,' Automatic Web-Page Classification by Using Machine Learning Methods' Institute of Scientific and Industrial Research, Osaka University Mihogaoka, Ibaraki, Osaka 567-0047, JAPAN.
  9. Min-Yen Kan, (May 2004)' Web page categorization without the web page' WWW2004, May 17–22, 2004, New York, New York, USA. ACM 1-58113-912-8/04/0005. Osaka University Mihogaoka, Ibaraki, Osaka 567-0047, JAPAN
Index Terms

Computer Science
Information Sciences

Keywords

Feature Extraction Back Propagation Incremental Learning Ann