Ditemukan 1 dokumen yang sesuai dengan query
Sisodia, Dilip Singh, author
Association rules are used to predict frequent web user behaviors from web usage data. These rules are formed using frequent items. The number of association rules increases as the number of frequent items increases and produces several redundant and non-informative rules. In this paper, five interestingness measures, including cosine, lift,...
Depok: Faculty of Engineering, Universitas Indonesia, 2018
UI-IJTECH 9:1 (2018)
Artikel Jurnal Universitas Indonesia Library
