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Discovery Of Associated Items Using Apriori Algorithm For Chain Stores
In this study, we applied machine learning method using data mining technique for association of customers regular parts order. The study describes the application of data mining analysis to a distinctive transaction database containing information about customers purchasing items of Aston Martin Car Spare part. We have applied an Apriori algorithm to test the applicability of data mining as an analysis method for decision making. The study reveals the confidence of associated items in the Aston Martins parts company. We constructed a database with collected data of customer’s tran sactions such as the item purchased by the customer which was recorded in the companies invoice. Thus, associ
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