PUTRA, BRILIAN MAHAYANA (2015) Grouping Website News on Similarity Link Using Page-rank Algorithm. Other thesis, Prodi Teknik Informatika Unika Soegijapranata.

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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.

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