Research on Application of Data Mining to Sales of Goods in Chain Retail Supermarkets
会议名称：《The Eighth International Conference on Information and Management Sciences》
会议日期：2009年
学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
关 键 词：chain supermarket data mining market basket analysis correlation rule OLAP
摘 要：Due to the rise in diversity of consumers needs in recent years,sales of goods have become customer-oriented rather than *** need to be sharp and sensitive to changes in consumer behaviors in the marketplace so that they can rather quickly rearrange display of products and selections of items on promotion in order to have the edge in decision making. In this paper,data were collected starting from November 2007 which amounts to 3.4 million *** proposed method involved integrating data mining with OLAP to find the key correlation in data dimensions and apply them to the chain *** same conditions were used to query data which were compared with results from different *** showed considerable differences for different *** example,in Tianmu,Taipei(a tourist paradise),high correlation is shown with leisure *** the other hand,in Yunlin,south Taiwan(country life), reflected high correlation with daily necessities and foods. Multi-dimension market basket analysis method can analyze the sales correlation of multi-dimensions such as time,customers and products in a *** also provides salesmen with consumer behaviors or habit information in different ***,salesmen can plan the marketing strategy and combination of items for a local area to increase sale revenues..