Discovering Purchasing Pattern of Sport Items Using Market Basket Analysis

One of the oldest problem in data mining is the market basket problem, the search for meaningful associations in customer purchase data. Currently, the Sport Company has an issue on sport items arrangement in accordance with customer purchasing pattern. They noticed that, the sales of certain products become decrease when they made some arrangement to the shelves. The Sport Company do not have any available computerized mechanism to provide the best arrangement of item store at the retail store. Everything is done manually by the owner of the shop according their own style. This study intends to identify purchasing pattern of sport items by adopting data mining technique which is Market Basket Analysis. This data mining pattern will help the retailer to make a better arrangement of the products at the premise. Historical data is analyzed to identify associated items from purchasing data of customer that involved sales data, items data and order data. As a result from this research, the sports items will be arranged according to the best rules identified and propose a new pattern.