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Learning from imbalanced data: open challenges and future directions
2016
Progress in Artificial Intelligence
Despite more than two decades of continuous development learning from imbalanced data is still a focus of intense research. Starting as a problem of skewed distributions of binary tasks, this topic evolved way beyond this conception. With the expansion of machine learning and data mining, combined with the arrival of big data era, we have gained a deeper insight into the nature of imbalanced learning, while at the same time facing new emerging challenges. Data-level and algorithm-level methods
doi:10.1007/s13748-016-0094-0
fatcat:ju77bqq7fbahjluiplybmtfdxq