ARIYALURAN HABEEB R A, NASARUDDIN F, GANI A, et al. Real-time Big Data Processing for Anomaly Detection: a Survey[J]. International Journal of Information Management, 2019, 45: 289-307. doi: 10.1016/j.ijinfomgt.2018.08.006
HASANIN T, KHOSHGOFTAAR T M, LEEVY J L, et al. Examining Characteristics of Predictive Models with Imbalanced Big Data[J]. Journal of Big Data, 2019, 6(1): 1-21. doi: 10.1186/s40537-018-0162-3
HASANIN T, KHOSHGOFTAAR T M, LEEVY J L, et al. Severely Imbalanced Big Data Challenges: Investigating Data Sampling Approaches[J]. Journal of Big Data, 2019, 6(1): 1-21. doi: 10.1186/s40537-018-0162-3
ABDEL-HAMID N B, ELGHAMRAWY S, DESOUKY A E, et al. A Dynamic Spark-based Classification Framework for Imbalanced Big Data[J]. Journal of Grid Computing, 2018, 16(4): 607-626. doi: 10.1007/s10723-018-9465-z
JING X Y, ZHANG X Y, ZHU X K, et al. Multiset Feature Learning for Highly Imbalanced Data Classification[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019, 29: 1-2.
LU C B, KE H F, ZHANG G Y, et al. An Improved Weighted Extreme Learning Machine for Imbalanced Data Classification[J]. Memetic Computing, 2019, 11(1): 27-34. doi: 10.1007/s12293-017-0236-3
ZHANG X G, WANG D X, ZHOU Y C, et al. Kernel Modified Optimal Margin Distribution Machine for Imbalanced Data Classification[J]. Pattern Recognition Letters, 2019, 125: 325-332. doi: 10.1016/j.patrec.2019.05.005
LI K W, ZHOU G Y, ZHAI J N, et al. Improved PSO_AdaBoost Ensemble Algorithm for Imbalanced Data[J]. Sensors, 2019, 19(6): 1476. doi: 10.3390/s19061476
闫旭, 叶春明, 姚远远. 量子鲸鱼优化算法求解作业车间调度问题[J]. 计算机应用研究, 2019, 36(4): 975-979.
DIALLO M, XIONG S W, COULIBALY M N, et al. Synthetic Minority Oversampling Technique in Stages for Unbalanced Climate and Rice Dataset: The Office Du Niger Case Study [C]//Proceedings of the 3rd International Conference on Telecommunications and Communication Engineering. Tokyo: ACM, 2019.
HASSIB E M, ELDESOKEY A E, LABIB L M, et al. LSH-SMOTE: A Modified SMOTE Algorithm for Imbalanced Data-Sets[J]. Ciência Técnica Vitivinícola, 2018, 33(4): 50-65.
SHASHIKUMAR S P, SHAH A J, CLIFFORD G D, et al. Detection of Paroxysmal Atrial Fibrillation Using Attention-based Bidirectional Recurrent Neural Networks[C]//Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Beijing: ACM, 2018.
PAING M P, CHOOMCHUAY S. Improved Random Forest (RF) Classifier for Imbalanced Classification of Lung Nodules[C]//2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST). Phuket: IEEE, 2018.
NURLAILY D, IRHAMAH, PURNAMI S W, et al. Support Vector Machine for Imbalanced Microarray Dataset Classification Using Ant Colony Optimization and Genetic Algorithm[C]//The 2nd International Conference on Science, Mathematics, Environment, and Education. Chongqing: AIP, 2019.
TSAI C F, LIN W C, HU Y H, et al. Under-sampling Class Imbalanced Datasets by Combining Clustering Analysis and Instance Selection[J]. Information Sciences, 2019, 477: 47-54. doi: 10.1016/j.ins.2018.10.029
HASANIN T, KHOSHGOFTAAR T M, LEEVY J, et al. Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data[C]//2019 IEEE Fifth International Conference on Big Data Computing Service and Applications (BigDataService). San Francisco: IEEE, 2019.