An Efficient Time Series Analysis for Pharmaceutical Sector Stock Prediction by Applying Hybridization of Data Mining and Neural Network Technique

• Main Authors: Das, Debashish, Sadiq, Ali Safa, Noraziah, Ahmad
• Format: Article
• Language: English
• Published: Indian Society for Education and Environment 2016
• Subjects: TN Mining engineering. Metallurgy
• Online Access: http://umpir.ump.edu.my/id/eprint/16873/1/fskkp-2016-aziah-Efficient%20Time%20Series%20Analysis.pdf; http://umpir.ump.edu.my/id/eprint/16873/; http://www.indjst.org/index.php/indjst/article/view/95152

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...