Open AccessANALISA DAN IMPLEMENTASI ASSOCIATION RULE DENGAN ALGORITMA FP-GROWTH DALAM SELEKSI PEMBELIAN TANAH LIAT (STUDI KASUS DI PT. ANVEVE ISMI BERJAYA)
Author(s) -
Dio Prima Mulya
Publication year - 2019
Publication title -
jurnal teknologi dan sistem informasi bisnis/jurnal teknologi dan sistem informasi bisnis
Language(s) - English
Resource type - Journals
eISSN - 2964-2132
pISSN - 2655-8238
DOI - 10.47233/jteksis.v1i1.6
Subject(s) - association rule learning , data mining , computer science
Data Mining aims to draw abstract knowledge of a big database.Data Mining also known as Knowledge Discovery Database. FP-Growth algorithm is one of the very popular algorithms in finding frequent itemset in finding the rule of a large data base. Association rule used to find patterns in market basket analysis. Steps in the process of association rule mining is confidence and support. Clay formed from the weathering of silica by carbonic acid and partly generated by geothermal activity. In this study using FP-Growth Algorithm in purchasing decisions withdrawal clay by PT. ISMI ANVEVE BERJAYA