Executive Information Systems Based on Data Mining Techniques Modeled through Quadratic Programming
This paper presents quadratic integer programming as a modeling technique to formulate the analytical models for financial markets. Financial market analysis has been a promising area of research for the last three decades. The proposed models aim to cater for several scenarios for analysis and pred...
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| creator | Rab, R.A. Shoukat, A. Sajjad, M. Khan, S.A. |
| description | This paper presents quadratic integer programming as a modeling technique to formulate the analytical models for financial markets. Financial market analysis has been a promising area of research for the last three decades. The proposed models aim to cater for several scenarios for analysis and prediction of future trends in capital, gold and currency markets. These models after translation into hyper graphs would be solved through clustering (data mining). The implementation of this research would be the basis of a decision support system. It may prove to be an analysis tool to evaluate the economic status of a country statistically in a more accurate manner |
| doi_str_mv | 10.1109/ICET.2006.335988 |
| format | Conference Proceeding |
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| ispartof | 2006 International Conference on Emerging Technologies, 2006, p.599-604 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Artificial intelligence Computer science Data mining Decision support systems Economic forecasting Gold Information systems Linear programming Predictive models Quadratic programming |
| title | Executive Information Systems Based on Data Mining Techniques Modeled through Quadratic Programming |
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