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https://ieeexplore.ieee.org/document/6533971/
Jun 18, 2013 · An Intelligent Decision Support System to Investment in the Stock Market Abstract: Stock market is a type of investment where with proper strategies and caution you can get good returns. However, its complex and stochastic behavior, the lack of knowledge and possibility of losses, can prevent a greater number of people availing themselves of ...Cited by: 1
https://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=176867
An intelligent decision support system for stock investment Abstract: A description is given of an effort that attempts to combine artificial intelligence, computer networking and database and management science technologies to aid stock investors in their decision making processes. Data from a multi-database environment, including the ...
https://link.springer.com/article/10.1007/PL00011646
We present an intelligent decision support system that combines decision analysis and traditional investment evaluation and analysis. The system brings to the ordinary user expertise in both decision analysis and investment evaluation techniques, as well as domain knowledge about the market.Cited by: 22
http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1381&context=amcis1999
An Intelligent Decision Support System Prototype for Asset Allocation Hamid R. Nemati, The University of North Carolina, [email protected] Lakshmi S. Iyer, University of Dayton, [email protected] Abstract Asset allocation decision involves bringing together estimates of current capital conditions and investorCited by: 4
http://www.ewh.ieee.org/reg/9/etrans/ieee/issues/vol11/vol11issue2March2013/11TLA2_18AlexandreMacedo.pdf
intelligent computational strategies can help the investor in this decision. From this viewpoint, this paper proposes an intelligent hybrid system that combines forecasting techniques with heuristic rules to give subsidies to the investor in the transaction in the stock market. To show functionality of the system we
https://www.sciencedirect.com/science/article/pii/S0167923613002522
Previous research has shown that user-generated stock votes from online communities can be valuable for investment decisions. However, to support investors on a day-to-day basis, there is a need for an efficient support system to facilitate the use of the data and to transform crowd votes into actionable investment opportunities.Cited by: 50
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