Abstract
Data Mining techniques are used to extract hidden knowledge (ex: rules, patterns, regularities) from data in databases. The knowledge discovered can be applied for supporting decision-making, as for instance in the financial domain. The tool demonstrated illustrates first how data mining can support the dynamic clustering and the forecasting of stock trends, and then how XML can support the portfolio management through the definition of trading strategies.
Cite
CITATION STYLE
Plihon, V., Wu, F., & Gardarin, G. (2001). A financial data mining trading system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1959, p. 370). Springer Verlag. https://doi.org/10.1007/3-540-45399-7_36
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
