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Stock Price Prediction using Neural Network with Hybridized Market Indicators
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  • Stock Price Prediction using Neural Network with Hybridized Ma...

Stock Price Prediction using Neural Network with Hybridized Market Indicators

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Stock prediction with data mining techniques is one of the most important issues in finance being investigated by researchers across the globe. Data mining techniques can be used extensively in the financial markets to help investors make qualitative decision. One of the techniques is artificial neural network (ANN). However, in the application of ANN for predicting the financial market the use...
 
Published at Journal of Emerging Trends in Computing and Information Sciences, Vol. 3, No. 1, pp. 1-9.
Published in 2012
 
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Adebiyi, Ayodele A., Ayo, Charles K., Adebiyi Marion O. and Otokiti Sunday O. (2012)
Adebiyi Ayodele » Professor Adebiyi, Ayodele Ariyo is a professor of Management Information System in the Department of Computer and Information Sciences in Covenant University. He holds a Bachelor degree in Computer Science and MBA degree from University of Ilorin, Ilorin Nigeria. He had his Master degree and Ph.D degree in Management Information System from Covenant University, Ota, Nigeria. His research... view full profile
Adebiyi Ayodele
 
Other publications by this author (view profile)
 
 
Stock Price Prediction using Fuzzy-neural Approach
 
Development of Electronic Government Procurement (e-GP) System for Nigeria Public Sector
 
An Empirical Investigation of the Level of Adoption of Mobile Payment in Nigeria
 
Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction
 
Stock Price Prediction Using the ARIMA Model
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