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An Enhanced Page Rank Algorithm over Domain

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Preetibala Deshmukh, Vikram Garg
10.5120/ijca2016909096

Preetibala Deshmukh and Vikram Garg. Article: An Enhanced Page Rank Algorithm over Domain. International Journal of Computer Applications 139(1):39-41, April 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Preetibala Deshmukh and Vikram Garg},
	title = {Article: An Enhanced Page Rank Algorithm over Domain},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {139},
	number = {1},
	pages = {39-41},
	month = {April},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Data mining over the web data and mining page ranking is field of interest where several research is been performed in order to find page rank according to its acquired data. Recently different clustering, web data mining and ranking technique proposed to provide low computation time and high accuracy over the number of links provided. In this paper related technique is described and a proposed technique EPRAD for effective page rank. Mining is performed on the KDD which contain links, further the result outcome shows the proposed algorithm is efficient as compared to existing PageRank algorithm.

References

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Keywords

Ranking-Mean, Page Rank, KDD Dataset, Weighted Page Rank