The performance of corporate financial distress prediction models with features selection guided by domain knowledge and data mining approaches

Published 2015 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
The performance of corporate financial distress prediction models with features selection guided by domain knowledge and data mining approaches
Authors
Keywords
Financial distress prediction, Features selection, Domain knowledge, Data mining
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 85, Issue -, Pages 52-61
Publisher
Elsevier BV
Online
2015-04-27
DOI
10.1016/j.knosys.2015.04.017

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started
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.