Title :
The apply of ID3 in stock analysis
Author_Institution :
Chinese People´s Armed Police Force Acad., Langfang, China
Abstract :
For macroeconomic, the prosperity of the stock market has promoted the reasonable allocation of social resources and broaden the financing channels. For personal, the stock has provided investors with an excellent investment management approach. However, the investment of stock is the opportunity to achieve high returns with great investment risks. And how to avoid the disadvantages become the most concerned topics of broad investor. Based on company intrinsic value, the paper expounds the influence to share price according to company financial fundamentals. Using machine learning theory, this paper built a stock investment decision tree model through the ID3 algorithm. It can provide decision support for future investment through analysis current financial of the company and market situation.
Keywords :
decision support systems; decision trees; learning (artificial intelligence); macroeconomics; resource allocation; stock markets; ID3 application; decision support systems; decision tree model; financial fundamentals; financing channels; investment management; machine learning theory; macroeconomic; social resource allocation; stock analysis; stock investment; stock market; Companies; Data mining; Data models; Data visualization; Decision trees; Investments; Stock markets; Data Mining; Decision Tree; ID3;
Conference_Titel :
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-9717-1
DOI :
10.1109/ICCSE.2011.6028576
