Predictive fuzzy reasoning method for time series stock market data mining
Data mining is able to uncover hidden patterns and predict future trends and behaviors in financial markets. In this research we approach quantitative time series stock selection as a data mining problem. We present another modification of extraction of weighted fuzzy production rules (WFPRs) from f...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2005
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/7575/ http://dx.doi.org/10.1117/12.603089 |
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