Recently, data mining has been implemented in various fields, including business and
telecommunications. Data mining is a technique for extracting and detecting patterns in …

Nowadays, online shopping plays a vital role in providing services and delivering goods to
customers in the context of business intelligence and e-commerce. This research analyzes …

This study was initiated with thorough investigation to determine the optimal Market Basket
Analysis (MBA) algorithms for the Co-Market Intelligent Application using Association Rule …

Data is increasingly recognized as a valuable asset for generating new insights and
information. Given the importance of data, businesses must always look for ways to get more …

Movie streaming services are businesses driven by data and strategies to predict future
viewing patterns based on historical data. Without unsupervised learning techniques …

A Critical Review of Market Basket Analysis on Retail Dataset using Data Mining Techniques
Page 67 Southern Journal of Research Vol. 3 (1), 2023 61 A Critical Review of Market Basket …

Every year the retail sector expands quickly. These industries are becoming more
competitive and difficult to operate in due to their expansion. Changing consumer buying …

This study aims to formulate a product bundling strategy for IndiHome products using the
Apriori Algorithm, one of the association rule algorithms in data mining techniques. This …

Abstract Consumers of the Sri Busana convection shop are mostly tailors, both home and
convection tailors, which are pretty large, especially in Grobogan district. The increasing …

Sales can be affected by many factors due to heavy competition in the business world. The
analysis to identify the customer's interest in advance is an important factor in it. Association …