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Discovering Purchasing Pattern of Sport Items Using Market Basket Analysis

机译:发现使用市场篮分析的运动物品购买模式

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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.
机译:一个数据挖掘的最古老的问题是市场篮子的问题,寻找客户购买数据有意义的关联。目前,该公司体育有根据客户的采购模式运动项目安排的问题。他们注意到,某些产品的销售成为下降时,他们做了一些安排货架。体育公司没有任何可用的计算机化机制,提供项目存储区的最好的安排在零售商店。一切都是由根据自己的风格店主手工完成。本研究试图通过采用数据挖掘技术,它是市场购物篮分析,以确定的运动项目采购模式。该数据挖掘模式将帮助零售商,使产品更好地安排在了前提。历史数据进行分析,从购买客户的数据涉及的销售数据,项目数据和订单数据确定相关的项目。从这项研究结果是,体育项目将根据鉴定,并提出一个新的模式最好的规则排列。

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