@ARTICLE{6884853, 
author={S. Pan and J. Wu and X. Zhu and C. Zhang}, 
journal={IEEE Transactions on Cybernetics}, 
title={Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification}, 
year={2015}, 
volume={45}, 
number={5}, 
pages={954-968}, 
keywords={graph theory;learning (artificial intelligence);pattern classification;boosting framework;discriminative subgraph pattern selection;ensemble-based framework;graph ensemble boosting;graph representations;imbalanced graph streams;imbalanced noisy graph stream classification;instance level weighting mechanism;learning models;model learning;Accuracy;Boosting;Linear programming;Noise;Noise measurement;Support vector machines;Vectors;Data streams;graph ensemble boosting (gEBoost);graphs;imbalanced class distributions;noise}, 
doi={10.1109/TCYB.2014.2341031}, 
ISSN={2168-2267}, 
month={May},}