Forecasting skewed biased stochastic ozone days: Analyses, solutions and beyondKun ZhangWei Fan2007KAIS
On sample selection bias and its efficient correction via model averaging and unlabeled examplesWei FanIan Davidson2007SDM 2007
A general framework for mining concept-drifting data streams with skewed distributionsJing GaoWei Fanet al.2007SDM 2007
Forecasting skewed biased stochastic ozone days: Analyses and solutionsKun ZhangWei Fanet al.2006ICDM 2006
Discovering unrevealed properties of probability estimation trees: On algorithm selection and performance explanationKun ZhangWei Fanet al.2006ICDM 2006
ReverseTesting: An efficient framework to select amongst classifiers under sample selection biasWei FanIan Davidson2006KDD 2006
A general framework for accurate and fast regression by data summarization in random decision treesWei FanJoe McCloskeyet al.2006KDD 2006
An improved categorization of classifier's sensitivity on sample selection biasWei FanIan Davidsonet al.2005ICDM 2005
Effective estimation of posterior probabilities: Explaining the accuracy of randomized decision tree approachesWei FanEd Greengrasset al.2005ICDM 2005
Making data mining models useful to model non-paying customers of exchange carriersWei FanJanak Mathuriaet al.2005SDM 2005