Aggregating multiple types of complex data in stock market prediction: A model-independent framework

Published 2018 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Aggregating multiple types of complex data in stock market prediction: A model-independent framework
Authors
Keywords
Stock market, Machine learning, Sentiment analysis, Complex data, Heterogeneous data, Data aggregation
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 164, Issue -, Pages 193-204
Publisher
Elsevier BV
Online
2018-11-09
DOI
10.1016/j.knosys.2018.10.035

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.