COMPARISON OF MARKET BASKET ANALYSIS METHOD USING APRIORI ALGORITHM, FREQUENT PATTERN GROWTH (FP- GROWTH) AND EQUIVALENCE CLASS TRANSFORMATION (ECLAT) (CASE STUDY: SUPERMARKET “X” TRANSACTION DATA FOR 2021)

COMPARISON OF MARKET BASKET ANALYSIS METHOD USING APRIORI ALGORITHM, FREQUENT PATTERN GROWTH (FP- GROWTH) AND EQUIVALENCE CLASS TRANSFORMATION (ECLAT) (CASE STUDY: SUPERMARKET “X” TRANSACTION DATA FOR 2021)

The retail industry continues to grow and develop in Indonesia. The retail sector as a provider of goods used in everyday life has long started digital transformation in its business. Digital technology helps the retail industry collect valuable customer data. Business analytic is the use of data,...

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Bibliographic Details
Main Authors: Rina Wahyuningsih, Agus Suharsono, Nur Iriawan
Format: Article
Language:English
Published: Universitas Nahdlatul Ulama Surabaya 2023-11-01
Series:Business and Finance Journal
Subjects:
Retail,
Big Data
Association Rules
Apriori
FP-Growth
ECLAT
Online Access:https://journal2.unusa.ac.id/index.php/BFJ/article/view/5226

Internet

https://journal2.unusa.ac.id/index.php/BFJ/article/view/5226

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