An Efficient Time Series Analysis for Pharmaceutical Sector Stock Prediction by Applying Hybridization of Data Mining and Neural Network Technique
Objectives: 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 in Bangladeshi sto...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Indian Society for Education and Environment
2016
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/16873/ http://umpir.ump.edu.my/id/eprint/16873/ http://umpir.ump.edu.my/id/eprint/16873/ http://umpir.ump.edu.my/id/eprint/16873/1/fskkp-2016-aziah-Efficient%20Time%20Series%20Analysis.pdf |