Abstract
The technique of discovering or "mining" new knowledge from huge datasets and applying it to decision making is known as data mining (DM). Companies have recently used a variety of data mining approaches to better understand their consumers and their performance, as well as to address complicated business challenges. Data mining is a method of developing business intelligence (BI) using data collected, organised, and stored by an organisation. The goal of this study is to examine data mining as a technology that enables business intelligence. The study's data collection technique was document analysis, while the data analysis method was qualitative.
Keywords: Frequent Item Mining, Data Mining, Market Basket Analysis, Parallel Execution
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