International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Double Blind Reviewed

ISSN: 2319-7064



Downloads: 107

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014


An Enhanced Web Mining Technique for Image Search using Weighted PageRank based on Visit of Links and Fuzzy K-Means Algorithm

Rashmi Sharma [9] | Kamaljit Kaur [5]


Abstract: Web mining is growing very rapidly. It extracts the rich information in the form of audio; video; content; links and images. The World Wide Web contains huge number of web pages and information available within web pages. When a user gives a query to the search engine; it generally returns a large amount of information in response to users query. To retrieve required information from Web pages; web mining performs various techniques. This paper proposed the hybrid technique of Weighted PageRank based on Visit of Links and Fuzzy K-Means algorithms which are applied on the search result. This paper described Fuzzy K-Means algorithm is used to group the given data-set into clusters and Weighted PageRank is used to re-rank the data according to the visit of links in the web pages. We have fetched the relevant information such as image links; images and total hyperlinks from a URL using the hybrid approach. Furthermore; we have done analysis on hybrid algorithms by applying valid parameters like execution time; recall; precision and f-measure.


Keywords: PageRank, Weighted PageRank, Weighted PageRank based on Visit of Links, K-Means and Fuzzy K-Means


Edition: Volume 3 Issue 6, June 2014,


Pages: 2083 - 2089


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How to Cite this Article?

Rashmi Sharma, Kamaljit Kaur, "An Enhanced Web Mining Technique for Image Search using Weighted PageRank based on Visit of Links and Fuzzy K-Means Algorithm", International Journal of Science and Research (IJSR), Volume 3 Issue 6, June 2014, pp. 2083-2089, https://www.ijsr.net/get_abstract.php?paper_id=2014650



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