The classification of datasets with a skewed class distribution is an important problem in data mining. Evolutionary undersampling of the majority class has proved to be a successful approach to ...

Effective record linkage in big data, particularly in imbalanced datasets, is a critical yet highly challenging task due to the inherent complexity involved. This article utilizes an ...

GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.

The objective of this study is to verify the Symmetrical Number System (SNS) undersampling receiver architecture using software and to investigate implementation issues using digital signal processing ...

In all forms of medical manufacturing, cost enters the equation, and expense seems like a potential cause of the undersampling in bioprocessing, but not so according to Williams. “It’s not the ...