GCMT-189 An Efficient Time Series Analysis for Pharmaceutical Sector Stock Prediction by Applying Hybridization of Data Mining and Neural Network Technique
The nonlinearity of the stock market is widely accepted all over the world and to reveal such non-linearity the most effective technique has proved to be constructed through application of either data mining or neural network. Pharmaceutical sector is a rapidly growing sector in Bangladeshi stock...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/20938/ http://umpir.ump.edu.my/id/eprint/20938/1/GCMT-189%20An%20Efficient%20Time%20Series%20Analysis%20for%20Pharmaceutical%20Sector%20Stock%20Prediction%20by%20Applying%20Hybridization.pdf |