Determining the Relationship between Anime Species Using Apriori Algorithm

Sakir Isleyen, Servet Oksuz

Abstract


Some of the Anime viewers focus on a particular genre, while some watch more than one type of Anime. In this study, data mining algorithm was used to investigate the extent to which Anime viewers are influenced by individual selection and selection factors based on genre. For this purpose, the collected data were analyzed by using Apriori algorithm, one of the association rule algorithms, which is one of the data mining methods. As a result of the studies, it was found that the relationship between the species followed by genre is close to 100% and that the results fluctuate between 15-80% in personal elections.

Key words: Data Mining, Association Rule, Apriori, Anime.

DOI: 10.7176/JSTR/5-7-13


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ISSN (online) 2422-8702