Grouping Website News on Similarity Link Using Page-rank Algorithm
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Institusion

Universitas Katolik Soegijapranata

Author

PUTRA, BRILIAN MAHAYANA

Subject

000 Computer Science, Information and General Works 

Datestamp

2015-11-04 08:41:14 

Abstract :
Abstract — Grouping Website News on Similarity link using Page-rank Algorithm is classifying data based on similarity. With this grouping, user can easily know which website that contains a lot of news from a website news. Page-rank algorithm is an algorithm that are rarely used in data mining. Page-rank will find where the links come from. First, Page-rank algorithm will search incoming link each news article then the incoming link will stored in array. After that incoming link will be group by similarity. So, links that are already grouped will produce a recommendation. Final results of this grouping process is a recommendation for the reader. The reader can know any links that has a high degree of similarity links which linking in on the each article link. 

File :
11.02.0053 Brilian Mahayana Putra - COVER.pdf
11.02.0053 Brilian Mahayana Putra - BAB I.pdf
11.02.0053 Brilian Mahayana Putra - BAB II.pdf
11.02.0053 Brilian Mahayana Putra - BAB III.pdf
11.02.0053 Brilian Mahayana Putra - BAB IV.pdf
11.02.0053 Brilian Mahayana Putra - BAB V.pdf
11.02.0053 Brilian Mahayana Putra - BAB VI.pdf
11.02.0053 Brilian Mahayana Putra - DAFTAR PUSTAKA.pdf
11.02.0053 Brilian Mahayana PutrA - LAMPIRAN.pdf