With the continuous development of Internet technology, the role of software in life is
increasing, and software defect prediction (SDP) is a key means to ensure software …

Classification of imbalanced data is challenging when outliers exist. In this paper, we
propose a supervised learning method to simultaneously classify imbalanced data and …

Data distribution has an important role in classification. The problem of imbalanced data has
occurred when the distribution of one class, which usually attends more interest, is …

Liver transplantation is a promising and widely-accepted treatment for patients with terminal
liver disease. However, transplantation is restricted by the lack of suitable donors, resulting …

Classification of data with imbalanced class distributions is a major problem in the data
mining community. Imbalanced classification is a challenging task in the presence of …

Current generation real-world data sets processed through machine learning are
imbalanced by nature. This imbalanced data enables the researchers with a challenging …