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Link Analysis Algorithm for Web Structure Mining
T.NITHYA Assistant Professor, Department of Computer Science, Dr. N G P Arts and Science College, Coimbatore, India
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Abstract: As the web is growing rapidly, the users get easily lost in the webβs rich hyper structure. The primary goal of the web site owner is to provide the relevant information to the users to fulfill their needs. Web mining technique is used to categorize users and pages by analyzing users behavior, the content of pages and order of URLs accessed. Web Structure Mining plays an important role in this approach. In this paper gives an introduction to Web mining, then describes Web Structure mining in detail, and explores the data structure used by the Web. This paper also explores different algorithms and compares those algorithms used for Information Retrieval.
Keywords: Web Mining, Web Structure, PageRank, Weighted PageRank and Hyper-link Induced Topic Search.
Keywords: Web Mining, Web Structure, PageRank, Weighted PageRank and Hyper-link Induced Topic Search.
How to Cite:
[1] T.NITHYA Assistant Professor, Department of Computer Science, Dr. N G P Arts and Science College, Coimbatore, India, βLink Analysis Algorithm for Web Structure Mining,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
