A Survey of Predictive Modeling on Imbalanced Domains

作者: Paula Branco , Luís Torgo , Rita P. Ribeiro

DOI: 10.1145/2907070

关键词: Machine learningPredictive analyticsData miningRegressionEnd userComputer scienceTraining setArtificial intelligence

摘要: … (ii) the process used to influence the learning process in order … This was termed by Weiss [2013] as the “problem-definition … of the SMOTE algorithm required adaptation for regression: (i) …

参考文章(249)
Ricardo Barandela, José Salvador Sánchez, Vicente García, Edgar Rangel, STRATEGIES FOR LEARNING IN CLASS IMBALANCE PROBLEMS Pattern Recognition. ,vol. 36, pp. 849- 851 ,(2003) , 10.1016/S0031-3203(02)00257-1
Ling Zhuang, Honghua Dai, Parameter Optimization of Kernel-based One-class Classifier on Imbalance Learning Journal of Computers. ,vol. 1, pp. 32- 40 ,(2006) , 10.4304/JCP.1.7.32-40
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Diego F. Silva, Class imbalance revisited: a new experimental setup to assess the performance of treatment methods Knowledge and Information Systems. ,vol. 45, pp. 247- 270 ,(2015) , 10.1007/S10115-014-0794-3
Juan J. Rodriguez, Jose F. Diez-Pastor, Jesus Maudes, Cesar Garcia-Osorio, Disturbing Neighbors Ensembles of Trees for Imbalanced Data 2012 11th International Conference on Machine Learning and Applications. ,vol. 2, pp. 83- 88 ,(2012) , 10.1109/ICMLA.2012.181
Adel Ghazikhani, Reza Monsefi, Hadi Sadoghi Yazdi, Online neural network model for non-stationary and imbalanced data stream classification International Journal of Machine Learning and Cybernetics. ,vol. 5, pp. 51- 62 ,(2014) , 10.1007/S13042-013-0180-6
Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard, A study of the behavior of several methods for balancing machine learning training data ACM SIGKDD Explorations Newsletter. ,vol. 6, pp. 20- 29 ,(2004) , 10.1145/1007730.1007735
P. Hart, The condensed nearest neighbor rule (Corresp.) IEEE Transactions on Information Theory. ,vol. 14, pp. 515- 516 ,(1968) , 10.1109/TIT.1968.1054155
Chun-Fu Lin, Sheng-De Wang, Fuzzy support vector machines IEEE Transactions on Neural Networks. ,vol. 13, pp. 464- 471 ,(2002) , 10.1109/72.991432
Jae Pil Hwang, Seongkeun Park, Euntai Kim, A new weighted approach to imbalanced data classification problem via support vector machine with quadratic cost function Expert Systems With Applications. ,vol. 38, pp. 8580- 8585 ,(2011) , 10.1016/J.ESWA.2011.01.061