RWO-Sampling: A random walk over-sampling approach to imbalanced data classification.

Highlights: [•] A random walk over-sampling approach is proposed to generate instances. [•] The generated data wide the classification border. [•] The generated data and the original data approximately obey similar distribution. [•] The classifier learned is unbiased and has high scalability. [•] A broad experimental evaluation is performed. [ABSTRACT FROM AUTHOR]