OPTIMISATION OF PAGERANK ALGORITHM IN HADOOP

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DC Field	Value	Language
dc.contributor.author	GOEL, PULKIT	-
dc.date.accessioned	2016-09-15T06:54:38Z	-
dc.date.available	2016-09-15T06:54:38Z	-
dc.date.issued	2016-08	-
dc.identifier.uri	http://dspace.dtu.ac.in:8080/jspui/handle/repository/15049	-
dc.description.abstract	PageRank was an algorithm used by Google in Searches to rank all websites in its search engine results. PageRank algorithm works by counting number and quality of web links to a page to determine an estimate of how important the website. The underlying assumption is more important websites are likely to receive more links from other websites. It is not the only algorithm used by Google Company to order search engine results, but it is the first type of algorithm that is used by the company. Modification to this PageRank has been presented So that it can be fast running time using Hadoop and good search results for a user as we get the good page rank value.	en_US
dc.language.iso	en_US	en_US
dc.relation.ispartofseries	TD NO.2327;	-
dc.subject	PAGERANK ALGORITHM	en_US
dc.subject	OPTIMISATION	en_US
dc.subject	HADOOP	en_US
dc.subject	MODIFICATION	en_US
dc.title	OPTIMISATION OF PAGERANK ALGORITHM IN HADOOP	en_US
dc.type	Thesis	en_US
Appears in Collections:	M.E./M.Tech. Computer Engineering

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