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Reseach Article

An Enhanced Page Rank Algorithm over Domain

by Preetibala Deshmukh, Vikram Garg
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 139 - Number 1
Year of Publication: 2016
Authors: Preetibala Deshmukh, Vikram Garg
10.5120/ijca2016909096

Preetibala Deshmukh, Vikram Garg . An Enhanced Page Rank Algorithm over Domain. International Journal of Computer Applications. 139, 1 ( April 2016), 39-41. DOI=10.5120/ijca2016909096

@article{ 10.5120/ijca2016909096,
author = { Preetibala Deshmukh, Vikram Garg },
title = { An Enhanced Page Rank Algorithm over Domain },
journal = { International Journal of Computer Applications },
issue_date = { April 2016 },
volume = { 139 },
number = { 1 },
month = { April },
year = { 2016 },
issn = { 0975-8887 },
pages = { 39-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume139/number1/24457-2016909096/ },
doi = { 10.5120/ijca2016909096 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:39:48.537744+05:30
%A Preetibala Deshmukh
%A Vikram Garg
%T An Enhanced Page Rank Algorithm over Domain
%J International Journal of Computer Applications
%@ 0975-8887
%V 139
%N 1
%P 39-41
%D 2016
%I 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
  1. B. Rajdeepa and Dr. P. Sumathi, "Web Mining and Its Methods", International Journal of Scientific & Engineering Research June-2013.
  2. Dhanalakshmi.K and Hannah Inbarani.” Fuzzy Soft Rough K-mean Clustering Approach for Gene Expression Data “Intenational Journal of Scientific & Engineering Research 2012
  3. G. Shrivastava, Kavita Sharma,V.kumar Web Mining Today and Tomorrow” International Conference on Electronics Computer Technology (ICECT) April 2011.
  4. Monika Yadav and Mr. Pradeep Mittal, "Web Mining an Introduction” International Journal Of Advanced Research in Computer Science And software Engineering march 2013
  5. Mohammad KhubebSiddiqui and Shams Naahid “International Journal of Database Theory and Application”, 2013.
  6. NeelamTyagi and Simple Sharma, “Weighted Page Rank Algorithm Based on Number of Visits of Links of Webpage”, International Journal of Computing and Engineering (IJSCE) July 2012.
  7. Rashmi Sharma, Kamaljit Kaur, “Review web Structure Mining Techniques using clustering and ranking Algorithm”International Joumal of Research in and Communication Technology”, 6 june 2014.
  8. Syed thousif hussain B.N.Kanya “Extracting Images From The Web Using Data Mining Technique”,International Journal of Advanced Technology &Engineering Research , March 2012.
  9. Sanjay and Dharmender Kumar Department of Computer Science and Engineering, Guru Jambheshwar University of Science and Technology june 2015.
  10. Wenpu Xing and GhorbaniAli, “Weighted PageRank ”IEEE, 2004
  11. Xiuzhen Zhang, Lishan Cui, and Yan Wang,”IEEE,2014
Index Terms

Computer Science
Information Sciences

Keywords

Ranking-Mean Page Rank KDD Dataset Weighted Page Rank