Selection-based resampling ensemble algorithm for nonstationary imbalanced stream data learning
Selection-based resampling ensemble algorithm for nonstationary imbalanced stream data learning is a scholarly work, published in 2019 in ''Knowledge-Based Systems''. The main subjects of the publication include selection (genetic algorithm), data stream, block, data mining, artificial intelligence, multivariate probability distribution, data stream mining, ensemble learning, algorithm, class, resampling, concept drift, machine learning, and computer science. To overcome these issues, authors propose an ensemble-based model for learning concept drift from imbalanced data streams with complex data distribution, called selection-based resampling ensemble (SRE).