Downloads: 104
Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 11, November 2015
A Survey on Domain Name Categorization Using Artificial Neural Networks
Akshay S. Dhomble, Disha Deotale
This paper describes automatic domain name categorization using Artificial Neural Networks (ANN). The categorization of Web page is one of the challenging tasks in the world of ever expanding web innovations. There are numerous methods for categorization of Web pages using distinct approach and features. In this paper using an Artificial Neural Networks (ANN) proposes another dimension in the way of Web pages categorization through extracting the features automatically. The entire procedure of the proposed system is done in three progressive stages. In the first stage, the features are consequently extricated through breaking down the wellspring of the web pages. The second stage incorporates altering the information estimations of the neural system, every one of the qualities stay somewhere around 0 and 1. The variations in those qualities affect the output. At long last the third stage decides the class of a certain web page out of seven predefined classes. This stage is done utilizing back propagation algorithm of artificial neural network. The proposed idea will encourage web mining, recoveries of data from the web furthermore the search engines.
Keywords: Artificial Neural Networks, Classification, Web Mining
Edition: Volume 4 Issue 11, November 2015
Pages: 1812 - 1815
How to Cite this Article?
Akshay S. Dhomble, Disha Deotale, "A Survey on Domain Name Categorization Using Artificial Neural Networks", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=NOV151566, Volume 4 Issue 11, November 2015, 1812 - 1815
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