An implementation of the Decision Tree for Stock Market Analysis

碩士 === 立德管理學院 === 應用資訊研究所 === 93 === In this paper, we will use Data Ming to find some real , good companies in the stock market . We can choose some valuable ones to invest , the financial conditions of which are sound and good . They must be high quality. In the past , most of the researchers only...

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Bibliographic Details
Main Authors: Kuo-Hsiung Chang, 張國雄
Other Authors: Cheng-Ming Yang
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/08080956609332989135
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Summary:碩士 === 立德管理學院 === 應用資訊研究所 === 93 === In this paper, we will use Data Ming to find some real , good companies in the stock market . We can choose some valuable ones to invest , the financial conditions of which are sound and good . They must be high quality. In the past , most of the researchers only emphasize the stock analysis skills and ignore each company itself is good or bed in organization , management , financial data and reporters , including the rest of aspects .As a result , most of investors lost their money deadly . Recently , you can apply Classification by Decision Tree Induction ( CDTI ) to set a formula for all company's financial conditions . By this way , we could understand their real conditions easily and watch them closely . We would teach every investor how to read and understand each company's financial basic data and reporters . Then we can get their credibility and decrease our lost .On the venture , we should stand on a safe area(no-failure) and easily we can seek for benefits . The analysis and understanding for company's financial conditions and reporters are our the last line of battle . With the rules of CDTI (Classification by Decision Tree Induction) , we can analyze Taiwan companies' financial data ( 2003 to 2005 ) , therefore , we could find sound and good companies in our market .High quality companies are the goals we invest.