ANALISA DAN IMPLEMENTASI ASSOCIATION RULE DENGAN ALGORITMA FP-GROWTH DALAM SELEKSI PEMBELIAN TANAH LIAT (STUDI KASUS DI PT. ANVEVE ISMI BERJAYA)

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 baske...

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Bibliographic Details
Published in:Jurnal Teknologi Dan Sistem Informasi Bisnis
Main Author: Mulya, DIo Prima
Format: Article in Journal/Newspaper
Language:English
Published: Prodi Sistem Informasi Universitas Dharma Andalas 2019
Subjects:
Liat
Carbonic acid
Online Access:http://jurnal.unidha.ac.id/index.php/jteksis/article/view/6
https://doi.org/10.47233/jteksis.v1i1.6
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Summary: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

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