A Survey on Web Page Prediction and Prefetching Models
| ||International Journal of Computer Trends and Technology (IJCTT)|| |
|© - October Issue 2013 by IJCTT Journal|
|Volume-4 Issue-10 |
|Year of Publication : 2013|
|Authors :Sunil Kumar|
Sunil Kumar"A Survey on Web Page Prediction and Prefetching Models "International Journal of Computer Trends and Technology (IJCTT),V4(10):3407-3411 October Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract:- this paper performs a survey on Web Page Prediction and Prefetching Methods. Prediction and Prefetching methods of Web page have been widely used to reduce the access latency problem on the networks. If Prediction and Prefetching of Web page are not accurate and Prefetched web pages are not visited by the users in their accesses, which mean it is totally wastage of time and bandwidth of network. The limited bandwidth of network and services of server will not be used efficiently and may face the access delay problem. That’s why we need effective and relevant methods for Prediction and Prefetching of Webpage. Markov models, Associations rule mining, N-Grams, Clustering and ARM are used widely for predicting the next Webpage. For Prefetching, we have Prefetching only and Prefetching with caching methods for reducing of the Web access. For the both purpose, log file plays a crucial role. Prediction with Prefetching of Webpage gives a good result for reducing the latency over network of Web access.
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Keywords :— Web Usage Mining, Clustering, Markov Model, ARM , User Sessions, N-Grams, ANN