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Manuscript Details - IJCIRAS1290

ManuScript Details
Paper Id: IJCIRAS1290
Title: REDUCING EXECUTION TIME IN GOOGLE PAGERANK ALGORITHM WITH PRECALCULATED RANKING
Published in: International Journal Of Creative and Innovative Research In All Studies
Publisher: IJCIRAS
ISSN: 2581-5334
Volume / Issue: Volume 2 Issue 2
Pages: 6
Published On: 7/17/2019 6:32:01 AM      (MM/dd/yyyy)
Main Author Details
Name: Htet Aung Kyaw
Institute: Mandalay Technological University (MTU)
Co - Author Details
Author Name Author Institute
Khaing Thanda Swe Mandalay Technological University (MTU)
Abstract
Research Area: Computer Science & Engineering
KeyWord: Google pagerank algorithm, Google’s heart, Information Retrieval, Web Mining
Abstract: Information Retrieval on the web is very important and also very complex operation for web mining. Web mining is the application of data mining techniques to extract the useful information from the web. Web data are web content, web structure, web usage. This paper is basically focused on Google Search Engine. Google’s heart is Google Pagerank Algorithm. Because of enormously increased the number of web site on the Internet, the execution of Pagerank Algorithm should be easy and faster in operation. In this paper, the original Google Pagerank Algorithm was split into two algorithms in distribution operation.To demonstrate our proposed method, we have been created simple website using mostly HTML, CSS and also bootstrap, front-end framework for web design. Then using Python programming, we created link number extractor (simple crawler) program that can extract every anchor tag and also total number of 'a' tag in specific webpage. And finally, take the convergence value to specify the iteration count during the operation of proposed Pagerank Algorithm. The strong point of Proposed Pagerank Algorithm is faster in program execution time more than original pagerank algorithm.
Citations
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IEEE
Htet Aung Kyaw, Khaing Thanda Swe, "Reducing Execution Time in Google PageRank Algorithm with Precalculated Ranking", International Journal Of Creative and Innovative Research In All Studies, vol. 2, no. 2, pp. 34-39, 2019.
MLA Htet Aung Kyaw, Khaing Thanda Swe "Reducing Execution Time in Google PageRank Algorithm with Precalculated Ranking." International Journal Of Creative and Innovative Research In All Studies, vol 2, no. 2, 2019, pp. 34-39.
APA Htet Aung Kyaw, Khaing Thanda Swe (2019). Reducing Execution Time in Google PageRank Algorithm with Precalculated Ranking. International Journal Of Creative and Innovative Research In All Studies, 2(2), 34-39.
Reducing Execution Time in Google PageRank Algorithm with Precalculated Ranking
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