Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

    1. Shah, D., Isah, H. and Zulkernine, F., 2019. Stock market analysis: A review and taxonomy of prediction techniques. International Journal of Financial Studies, 7(2), p.26.
    2. Bustos, O. and Pomares-Quimbaya, A., 2020. Stock market movement forecast: A Systematic Review. Expert Systems with Applications, 156, p.113464.
    3. Jose, J., Mana, S. and Samhitha, B.K., 2019. An efficient system to predict and analyze stock data using Hadoop techniques. International Journal of Recent Technology and Engineering (IJRTE), 8(2), pp.2277-3878.
    4. Hu, Z., Zhao, Y. and Khushi, M., 2021. A survey of forex and stock price prediction using deep learning. Applied System Innovation, 4(1), p.9.
    5. Obthong, M., Tantisantiwong, N., Jeamwatthanachai, W. and Wills, G., 2020. A survey on machine learning for stock price prediction: algorithms and techniques.
    6. Rouf, N.; Malik, M.B.; Arif, T.; Sharma, S.; Singh, S.; Aich, S.; Kim, H.-C. Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions. Electronics 2021.
    7. Krishna, V. ScienceDirect ScienceDirect NSE Stock Stock Market Market Prediction Prediction Using Using Deep-Learning Deep-Learning Models Models. Procedia Comput. Sci. 2018
    8. Srivastava, D.K. Bhambhu, L. Data classification using support vector machine. J. Theor. Appl. Inf. Technol. 2010, 12, 1–7

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