Neural Networks and Web Mining

International Journal of Electronics and Communication Engineering

© 2014 by SSRG - IJECE Journal

Volume 1 Issue 1

Year of Publication : 2014

Authors : R. Vasudevan

10.14445/23488549/IJECE-V1I1P103

How to Cite?

R. Vasudevan, "Neural Networks and Web Mining," SSRG International Journal of Electronics and Communication Engineering, vol. 1,  no. 1, pp. 9-14, 2014. Crossref, https://doi.org/10.14445/23488549/IJECE-V1I1P103

Abstract:

The World Wide Web (WWW) is huge, universal and it contains unstructured and heterogeneous data. The expectations in growth of World Wide Web get increased in recent years. There are several billions of documents in the form of HTML and XML, pictures, audios, videos and other multimedia files are embedded in the internet and the number is still increasing now-a-days. But one thing is to retrieving the interesting content has become a very difficult task in the web. Hence the web usage mining is used, which one of the techniques of web mining, it is very useful to discover knowledge from secondary data obtained from the interaction from the users with the web. The web usage mining is mining of usage data captured through various logs stored on server, client or proxy. It is very essential for obtaining useful information throughout the web. Artificial Neural Network (ANN) is information processing system made up of large number of processing elements called neurons. In this paper, discuss about basic ideas of web usage mining and artificial neural networks.

Keywords:

An artificial neural network

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