UGC approved journal IJNRD Research Journal


INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD)
An International Open Access Journal |   ISSN: 2456-4184 |  IMPACT FACTOR: 5.57

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Impact Factor : 5.57

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Paper Title: An Effective Web Page Ranking By Applying Dimension Reduction Over Web Log Data
Authors Name: Monika Sahu , Dr Megha Mishra , Dr Vishnu Kumar Mishra
Author Reg. ID:
IJNRD_170135
Published Paper Id: IJNRD1709007
Published In: Volume 2 Issue 9, September-2017
Abstract: Nowadays showcase is loaded with various inquiry apparatuses over web having perceptible decent variety as far as working and the end indexed lists. Given a query, seek devices ordinarily restore a substantial number of pertinent website pages. To be more successful, the returned pages must be positioned by their pertinence as for the client's question. Page Rank and Weighted Page Rank Algorithms give the proficient outcome however these calculations are question autonomous calculations as these depend on the web usage mining.Web Usage Mining techniques focuses the problem of fetching social patterns from one or more web usage logs.In this paper we will provide a comparisonamong different web usage mining techniques upon web log data emphasis on how web usage mining techniques helps to do effective web page ranking. Proposed algorithm applies dimension reduction over web log data which will reduce the time complexity of existing algorithm and increase the accuracy of web page ranking.
Keywords: Web log;
Cite Article: "An Effective Web Page Ranking By Applying Dimension Reduction Over Web Log Data", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.2, Issue 9, page no.22-26, September-2017, Available :http://www.ijnrd.org/papers/IJNRD1709007.pdf
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