Mining Domain-Driven Correlations in Stock Markets

Publication Type:
Conference Proceeding
AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence Proceedings, 2005, pp. 979 - 982
Issue Date:
Full metadata record
Files in This Item:
Filename Description SizeFormat
2005002983.pdf708.44 kBAdobe PDF
There have been many technical trading rules in stock market since the first stock exchange founded. Along with the developing of computer technology, the technical trading rules are playing more and more important roles in the stock market trading system. However, there are many problems also occurred, such as the huge database, inefficiency, etc. So, the in-depth data mining technology is becoming a powerful tool to overcome the shortage of the current technologies. In this paper, we give some applications of in-depth data mining method: to find the optimal range, to find the stock-rule pair and find the relationship between the number of pair and investment. This method can improve both efficiency and effectiveness.
Please use this identifier to cite or link to this item: