A novel test-cost-sensitive attribute reduction approach using the binary bat algorithm

标题
A novel test-cost-sensitive attribute reduction approach using the binary bat algorithm
作者
关键词
Rough set, Attribute reduction, Test-cost-sensitive, Binary bat algorithm
出版物
KNOWLEDGE-BASED SYSTEMS
Volume -, Issue -, Pages 104938
出版商
Elsevier BV
发表日期
2019-08-13
DOI
10.1016/j.knosys.2019.104938

向作者/读者发起求助以获取更多资源

Reprint

联系作者

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