Traditional supervised learning algorithms do not satisfactorily solve the classification problem on imbalanced data sets, since they tend to assign the majority class, to the detriment of the ...

Network sampling in social graphs encompasses a suite of methodologies designed to extract representative subsets from large‐scale networks, enabling analysis when complete data are unavailable or ...