Application of dat mining:analyzing E-ICP data by association rules

• Main Author: 何玉芝
• Other Authors: Min-Ning Yu
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/20199272898589619990

碩士 === 國立政治大學 === 統計研究所 === 91 === The swift developments of Computer Science and Internet in 20 century enable people handling more and more data, but bring even more problems. Data Mining is then developed to solve them. Data Mining is very popular in business environment, because all the information and knowledge gained can help managers make the best decisions. And in the long run, Data Mining can help the circulation of information inside and outside an organization. In Taiwan, many research centers are collecting consuming data in order to understand more about consumer behaviors. This study is in focus of E-ICP data which has a long history in consumer issues. The commodities data in E-ICP dataset is very abundant, but less emphasis was made upon it. Therefore, using Association Rules to find out the relationship between commodities is a good trial. The process of analyzing E-ICP data with Association Rules let us realize how difficult to take it into practice. And the problems I faced and the solutions I used in this study could feedback to future analyzer for some meaningful research issues.