Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance Sampling - researchr publication authors

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Ke Wu, Andrea Edwards, Wei Fan, Jing Gao, Kun Zhang. Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance Sampling. In Mohammed Javeed Zaki, Zoran Obradovic, Pang-Ning Tan, Arindam Banerjee, Chandrika Kamath, Srinivasan Parthasarathy, editors, Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014. pages 722-730, SIAM, 2014. [doi]

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