Browsing by Author "Guo Li"

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Browsing by Author "Guo Li"

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  • Enabling fast lazy learning for data streams 
    Zhang Peng; Gao Byron; Zhu Xingquan; Guo Li (IEEE, 2011)
    Lazy learning, such as k-nearest neighbor learning, has been widely applied to many applications. Known for well capturing data locality, lazy learning can be advantageous for highly dynamic and complex learning environments ...
  • Mining Data Streams with Labeled and Unlabeled Training Examples 
    Zhang Peng; Zhu Xingquan; Guo Li (SIEEE Computer Society, 2009)
    In this paper, we propose a framework to build prediction models from data streams which contain both labeled and unlabeled examples. We argue that due to the increasing data collection ability but limited resources for ...
  • Robust Ensemble Learning For Mining Noisy Data Streams 
    Zhang Peng; Zhu Xingquan; Shi Yong; Guo Li; Wu Xindong (Elsevier Science Bv, 2011)
    In this paper, we study the problem of learning from concept drifting data streams with noise, where samples in a data stream may be mislabeled or contain erroneous values. Our essential goal is to build a robust prediction ...
  • SKIF: A Data Imputation Framework for Concept Drifting Data Streams 
    Zhang Peng; Zhu Xingquan; Tan Jianlong; Guo Li (ACM, 2010)
    Missing data commonly occur in many applications. While many data imputation methods exist to handle the missing data problem for databases, when applied to concept drifting data streams, these methods share some common ...