Ｄataminig

• Main Authors: LEE MIN ＨＷＡ, 李敏華
• Other Authors: Lee Tian-Shyug
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/77623946808506150779

碩士 === 輔仁大學 === 國際創業與經營管理學程碩士在職專班 === 95 === In banking industry, it’s a important subject of debate how to make the best of the technological system of information for selling products and find out the suitable guest. Data mining is a good handling tool that can handle the masses and the useless banking’s huge databases , that can help enterprises to develop resources and reduce expenditures. This thesis aims at locating what data mining technology can accurately judge the customers who would subscribe CPPI structured notes and screen the meaningful variables in statistics via tool screening. Based on this, one can use the tool with the highest distinguishing rate to distinguish the customers who will subscribe CPPI structured notes. With reference of marketing strategies based on the major variables form the analysis instruments, we can then improve the success rate of financial management specialist, save their time and increase the success rate. In the meantime, this will help increase the sales of relevant products such as mutual funds, insurance and securities to quickly focus the limited resources on the target customers.