Using Data mining Techniques to Market Segment and Cross-selling in Retailing

• Main Authors: Yuan Yao, Chou, 周裕原
• Other Authors: 翁振益
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/78133228361114738236

碩士 === 銘傳大學 === 管理科學研究所 === 91 === With computer information system developing and storage facilities costing down, collecting customer data becomes easy. Enterprise knows how to making good use of information well becomes popular topics .It is easy to getting customer’s data with them. Customers have different interests with thousands of goods and different consuming habits, and they are districted to different type. In order to know well about main objective customer, enterprises have to understand customer’s demand and where the target customers are. Data mining with retail’s transactional data and customer’s data for different mission and problem. The most important thing is to make retail know well objective customer and focus on inch market. This study bases on market segment and association rules , searching for a hidden information in complex database is by integrating product、customer、sales data in data mining technology and process.