ManuScript Details
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Paper Id:
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IJCIRAS1290
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Title:
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REDUCING EXECUTION TIME IN GOOGLE PAGERANK ALGORITHM WITH PRECALCULATED RANKING
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| 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
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| Published On: |
7/17/2019 6:32:01 AM (MM/dd/yyyy) |
| PDF Url: |
http://www.ijciras.com/PublishedPaper/IJCIRAS1290.pdf |
Main Author Details
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Name:
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Htet Aung Kyaw |
| Institute: |
Mandalay Technological University (MTU) |
Co - Author Details
| Author Name |
Author Institute |
| Khaing Thanda Swe |
Mandalay Technological University (MTU) |
Abstract
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Research Area:
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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.
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Citations
Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.
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IEEE
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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.
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MLA
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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.
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APA
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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.
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REDUCING EXECUTION TIME IN GOOGLE PAGERANK ALGORITHM WITH PRECALCULATED RANKING
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