Ayvaz, BerkSağın, Ayşe Nur2019-08-072019-08-072018https://hdl.handle.net/11467/2844Market basket analysis is the process of extracting purchasing trends from records in company databases, taking into account the products that customers buy in a single transaction. In this study, a market basket analysis was conducted on a five-and-a-half year data of a large hardware company operating in the retail sector, and related product categories were identified. In determining the association rules, both the Apriori and FP-Growth algorithms were run separately and their usefulness in such a set of data was compared. In addition, the data set was divided into Data Set-1 and Data Set-2 so that the consistency of the rules was discussed by comparing the correctness of rules extracted from the first data set with rules derived from the second data set containing consecutive timed dataeninfo:eu-repo/semantics/openAccessApriori AlgorithmAssociation RulesData MiningFP-Growth AlgorithmMarket Basket AnalysisArticle711019