Data Processing in Web Mining Structure by Hyperlinks and Pagerank

Ghanshyam Sahu; Lalit Kumar P Bhaiya; Ku Nalesh

Title:
Data Processing in Web Mining Structure by Hyperlinks and Pagerank

Authors:
Ku Nalesh | Ghanshyam Sahu | Lalit Kumar P Bhaiya

Cite This Article :

Ku Nalesh | Ghanshyam Sahu | Lalit Kumar P Bhaiya "Data Processing in Web Mining Structure by Hyperlinks and Pagerank" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6, December 2023, pp.223-228, URL: https://www.ijtsrd.com/papers/ijtsrd60083.pdf

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Abstract :
Creating a quick and effective page ranking system for web crawling and retrieval is still a difficult problem. We suggest constructing a set of PageRank vectors biased using a collection of representative subjects in order to better capture the idea of relevance with regard to a certainty of topic in order to produce more accurate for search results. The outcome of the experiment demonstrates that the suggested algorithm improves the degree of relevance compared to the original one and reduces the topic sensitive PageRank's query time efforts. This paper offers an overview of Web mining as well as a review of its various categories. Next, we concentrate on one of these subcategories: Web structure mining. In this area, we describe link mining and examine PageRank, two well-liked techniques used in web structure mining.

Keywords :
Web Mining, Web Structure Mining, Web Graph, PageRank, Data Processing

Publication Details:

Unique Identification Number : IJTSRD60083

Published In : Volume-7 | Issue-6, December 2023

Page Number(s) : 223-228

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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