DocumentCode :
2098612
Title :
Executive Information Systems Based on Data Mining Techniques Modeled through Quadratic Programming
Author :
Rab, R.A. ; Shoukat, Aneela ; Sajjad, Madhia ; Khan, Shoab A.
Author_Institution :
Software Eng. Prog., Fatima Jinnah Women Univ., Rawalpindi
fYear :
2006
fDate :
13-14 Nov. 2006
Firstpage :
599
Lastpage :
604
Abstract :
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
Keywords :
data mining; financial data processing; quadratic programming; currency markets; data mining; data mining techniques; decision support system; executive information systems; financial market analysis; quadratic integer programming; Artificial intelligence; Computer science; Data mining; Decision support systems; Economic forecasting; Gold; Information systems; Linear programming; Predictive models; Quadratic programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies, 2006. ICET '06. International Conference on
Conference_Location :
Peshawar
Print_ISBN :
1-4244-0502-5
Electronic_ISBN :
1-4244-0503-3
Type :
conf
DOI :
10.1109/ICET.2006.335988
Filename :
4136955
Link To Document :
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