RACER: accurate and efficient classification based on rule aggregation approach

Title
RACER: accurate and efficient classification based on rule aggregation approach
Authors
Keywords
RACER, Data mining, Classification, Rule-based classifier
Journal
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2017-07-06
DOI
10.1007/s00521-017-3117-2

Ask authors/readers for more resources

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