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

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...

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Bibliographic Details
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/
http://umpir.ump.edu.my/id/eprint/16873/1/fskkp-2016-aziah-Efficient%20Time%20Series%20Analysis.pdf

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