Using Data Mining to Analyze the Performance of Listed Electronic Components Companies

• Main Authors: LI , CHIA-HUNG, 李佳鴻
• Other Authors: CHIANG,TZU-CHIANG
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/h72p52

碩士 === 東海大學 === 資訊管理學系 === 106 === With the continuous evolution of the concept and system of the financial market, the general public takes advantage of the relevant financial information provided by the business newspaper and magazine, the securities dealers, the suggestions of the famous investment financial experts and so on, which can be used as a reference and decides that the investment standard has become a daily behavior. Among the numerous financial information items, the general public is in the shadow of the shadow. The key financial items that ring the company's profitability are ambiguous or even black and white. Therefore, this study uses the financial data from the Taiwan economic new newspaper database (TEJ), and hopes to find the target of investment by means of data exploration. This study uses the financial data from 2007 to 2016 as the analysis period, and calculates the data with its operational capability as input and profitability as output. The value of envelope analysis (DEA) is used as the main target parameter to find out the company with better financial constitution. Finally, the data exploration methods such as decision tree, group analysis and so on are carried out, and further screening is made to find the best company to make a profit.