International Journal of Recent Trends in Engineering & Research

online ISSN

Association Rules Analysis on FP-Growth Method in Predicting Sales

Publication Date : 06/10/2017

DOI : 10.23883/IJRTER.2017.3453.DHCOA


Author(s) :

Supiyandi , Mochammad Iswan Perangin-angin , Andre Hasudungan Lubis , Mesran , Ali Ikhwan , Andysah Putera Utama Siahaan.


Volume/Issue :
Volume 3
,
Issue 10
(10 - 2017)



Abstract :

Sales transaction data on a company will continue to increase day by day. Large amounts of data can be problematic for a company if it is not managed properly. Data mining is a field of science that unifies techniques from machine learning, pattern processing, statistics, databases, and visualization to handle the problem of retrieving information from large databases. The relationship sought in data mining can be a relationship between two or more in one dimension. The algorithm included in association rules in data mining is the Frequent Pattern Growth (FP-Growth) algorithm is one of the alternatives that can be used to determine the most frequent itemset in a data set.


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