Self-adaptive attribute weighting for Naive Bayes classification

作者：

Highlights：

• Self-adaptive attribute weighting for Naive Bayes classification.

• Using Artificial Immune Systems (AIS) for attribute weighting.

• Seamlessly integrating learning objective and AIS affinity function for attribute weighting.

• Experiments on 42 real-world datasets demonstrating superb performance gain.

摘要

•Self-adaptive attribute weighting for Naive Bayes classification.•Using Artificial Immune Systems (AIS) for attribute weighting.•Seamlessly integrating learning objective and AIS affinity function for attribute weighting.•Experiments on 42 real-world datasets demonstrating superb performance gain.

论文关键词：Naive Bayes,Self-adaptive,Attribute weighting,Artificial Immune Systems,Evolutionary computing

论文评审过程：Available online 30 September 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.09.019