• Register
  • Login

European Journal of Molecular & Clinical Medicine

  • Home
  • Browse
    • Current Issue
    • By Issue
    • By Subject
    • Keyword Index
    • Author Index
    • Indexing Databases XML
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Indexing and Abstracting
    • Peer Review Process
    • News
  • Guide for Authors
  • Submit Manuscript
  • Contact Us
Advanced Search

Notice

As part of Open Journals’ initiatives, we create website for scholarly open access journals. If you are responsible for this journal and would like to know more about how to use the editorial system, please visit our website at https://ejournalplus.com or
send us an email to info@ejournalplus.com

We will contact you soon

  1. Home
  2. Volume 7, Issue 3
  3. Author

Online ISSN: 2515-8260

Volume7, Issue3

Survey on combined supervised learning for optimized daily Stock price

    D.SHALINIGAYATHRI and A.S.ARUNACHALAM

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 5014-5021

  • Show Article
  • Download
  • Cite
  • Statistics
  • Share

Abstract

Equity Market is the place of shares and stock trading system which collection of buyers and sellers.  In this domain, diverse public or private shares are traded by the listed companies. The Stock market places an important role in predicting the growth of a country's economy.  The prediction of the stock market becomes a difficult task due to its non-linear scenario. The Machine Learning algorithm handles previously logged data as training samples and makes supports for forecasting the stock price for future trends. Supervised Learning is a powerful Machine Learning task.  The basic idea of Supervised Learning is to classify and process data using Machine Learning.  This paper denotes the survey and usage of Supervised Learning in a stock market application.  This survey expresses the various aspect of the stock market then describes Supervised Learning and its algorithm for future prediction of the stock market.  This paper shows a detailed idea about the supervised learning techniques and future scope of developing new features
Keywords:
  • PDF (205 K)
  • XML
(2020). Survey on combined supervised learning for optimized daily Stock price. European Journal of Molecular & Clinical Medicine, 7(3), 5014-5021.
D.SHALINIGAYATHRI and A.S.ARUNACHALAM. "Survey on combined supervised learning for optimized daily Stock price". European Journal of Molecular & Clinical Medicine, 7, 3, 2020, 5014-5021.
(2020). 'Survey on combined supervised learning for optimized daily Stock price', European Journal of Molecular & Clinical Medicine, 7(3), pp. 5014-5021.
Survey on combined supervised learning for optimized daily Stock price. European Journal of Molecular & Clinical Medicine, 2020; 7(3): 5014-5021.
  • RIS
  • EndNote
  • BibTeX
  • APA
  • MLA
  • Harvard
  • Vancouver
  • Article View: 16
  • PDF Download: 18
  • LinkedIn
  • Twitter
  • Facebook
  • Google
  • Telegram
Journal Information

Publisher:

Email:  info@ejmcm.com

  • Home
  • Glossary
  • News
  • Aims and Scope
  • Privacy Policy
  • Sitemap

Editorial Team:  editor@ejmcm.com

For Special Issue Proposal : chiefeditor.ejmcm@gmail.com / info@ejmcm.com

This journal is licensed under a Creative Commons Attribution 4.0 International (CC-BY 4.0)

Powered by eJournalPlus