A Survey Study on Proposed Solutions for Imbalanced Big Data
Shaymaa Ahmed Razoqi,
Ghayda A.A. Al-Talib
Abstract:Learning from imbalanced data has been a focus of studies for more than two decades of continuous development. Training data is considered imbalanced when the size of the positive (minority) class is neglected because of the large size of the negative (majority) class, in addition to the problem of deviating distributions of binary tasks. The appearance of big data brings new problems and challenges to the imbalance problem. Big Data announces the challenges with 5V: volume, velocity, veracity, value, and vari… Show more
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