An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks

标题
An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks
作者
关键词
Spam filtering, Email spam detection, Feature analysis, Hybrid machine learning, Evolutionary, Random Weight Network, Feature selection
出版物
Information Fusion
Volume 48, Issue -, Pages 67-83
出版商
Elsevier BV
发表日期
2018-08-06
DOI
10.1016/j.inffus.2018.08.002

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

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