Apriori Algorithm Application for Consumer Purchase Patterns Analysis

B. H. Situmorang, Ali Isra, Dhatu Paragya, David Aulia Akbar Adhieputra
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Abstract

The Apriori algorithm is a data mining association rule algorithm for finding relationship patterns between one or more items in a dataset. Apriori algorithm is often used in transaction data analysis or market basket analysis. Apriori algorithm is used to find out consumer purchase patterns in e-commerce systems and provide product recommendations to consumer by extaracting associations or events from transactional data. This study is purposed for deeply analyze the steps, performance of Apriori algorithm, and give relevant an example of case study to better explain the steps of Apriori algorithm application, as well as the results achieved.
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Apriori 算法在消费者购买模式分析中的应用
Apriori 算法是一种数据挖掘关联规则算法,用于发现数据集中一个或多个项目之间的关系模式。Apriori 算法通常用于交易数据分析或市场篮子分析。Apriori 算法用于发现电子商务系统中消费者的购买模式,并通过从交易数据中提取关联或事件为消费者提供产品推荐。本研究旨在深入分析 Apriori 算法的步骤和性能,并给出相关案例研究,以更好地解释 Apriori 算法的应用步骤和取得的成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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