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Survey Paper | Information Technology | India | Volume 4 Issue 4, April 2015 | Popularity: 6.7 / 10
A Survey on Stock Market Prediction Techniques
Shyam Kute, Sunil Tamhankar
Abstract: Different techniques are available for the prediction of stock market. Very popular some of these are Neural Network, Data Mining, Hidden Markov Model (HMM) And Neuro-Fuzzy system. From these Neural Network and Neuro-Fuzzy Systems are the most leading machine learning techniques in stock market index prediction area. Other traditional methods do not cover all possible relation of stock price movements. Neural Network and Markov Model can be used exclusively in the financial markets and forecasting of stock price. Neural Networks discovers the non linear relationship in the input data set without knowing the relation between input and output. For the sample data which contain noisy information with least principle ANN can generalize and correctly infer the unseen part of data. Hence ANN suits well than any other models in the prediction of stock markets.
Keywords: Artificial Neural Network ANN, Data Mining, Hidden Markov Model HMM, Neuro-Fuzzy system
Edition: Volume 4 Issue 4, April 2015
Pages: 303 - 306
Make Sure to Disable the Pop-Up Blocker of Web Browser
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Information Technology, Ghana, Volume 8 Issue 6, June 2019
Pages: 64 - 69The Use of Information and Communication Technology (ICT) in Teaching and Learning of Mathematics in Al-Faruq College of Education, Wenchi-Ghana
Abu Sulemana, Yahuza Abdul-Kadir
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Information Technology, India, Volume 8 Issue 1, January 2019
Pages: 456 - 460Analysis of Blockchain and its Working Principle
S. Banupriya, G. Renuka Devi
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Information Technology, China, Volume 9 Issue 1, January 2020
Pages: 107 - 112Network Optimization using Multi-Agent Genetic Algorithm
Sikandar Hanif
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Information Technology, Malaysia, Volume 8 Issue 1, January 2019
Pages: 64 - 70University of the Future (UotF): Redesign Business Model for Local University in Malaysia through Humanising Education and 4IR
Nor Zaiasron Bin Yahaya, Abdul Rahman Bin Ahmad Dahlan
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Information Technology, India, Volume 9 Issue 1, January 2020
Pages: 477 - 479IoT Based Smart Street Light for Energy Efficiency and Safety
Tanmay Patil, Arjun Ramendra