Cost-sensitive feature selection based on adaptive neighborhood granularity with multi-level confidence

Published 2016 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Cost-sensitive feature selection based on adaptive neighborhood granularity with multi-level confidence
Authors
Keywords
Cost-sensitive learning, Feature selection, Granular computing, Neighborhood granularity, Neighborhood rough sets
Journal
INFORMATION SCIENCES
Volume 366, Issue -, Pages 134-149
Publisher
Elsevier BV
Online
2016-05-28
DOI
10.1016/j.ins.2016.05.025

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

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.