Browsing Conference Papers by Author "Zhang, Jilian"

UTSePress Research/Manakin Repository

Search UTSePress Research


Advanced Search

Browse

My Account

Browsing Conference Papers by Author "Zhang, Jilian"

Sort by: Order: Results:

  • Zhang, Shichao; Wu, Xindong; Qin, Yongsong; Zhang, Jilian; Zhu, Xiaofeng (ACM Press, 2006)
  • Zhu, Xiaofeng; Zhang, Shichao; Zhang, Jilian; Zhang, Chengqi (AAAI Press, 2007)
    Various approaches for dealing with missing data have been developed so far. In this paper, two strategies are proposed for cost-sensitive iterative imputing missing values with optimal ordering. Experimental results ...
  • Zhang, Shichao; Zhu, Xiaofeng; Zhang, Jilian; Zhang, Chengqi (Springer, 2007)
    Cost-sensitive decision tree learning is very important and popular in machine learning and data mining community. There are many literatures focusing on misclassification cost and test cost at present. In real world ...
  • Zhang, Chengqi; Zhu, Xiaofeng; Zhang, Jilian; Qin, Yongsong; Zhang, Shichao (Springer, 2007)
    Missing data imputation is an actual and challenging issue in machine learning and data mining. This is because missing values in a dataset can generate bias that affects the quality of the learned patterns or the ...
  • Zhang, Shichao; Qin, Yongsong; Zhu, Xiaofeng; Zhang, Jilian; Zhang, Chengqi (IOS Press, 2006)
  • Zhang, Jilian; Zhang, Shichao; Zhu, Xiaofeng; Wu, Xindong; Zhang, Chengqi (AAAI Press, 2007)
    In this paper, we propose an empirical likelihood (EL) based strategy for building confidence intervals for differences between two contrasting groups. The proposed method can deal with the situations when we know little ...
  • Zhang, Shichao; Qin, Yongsong; Zhu, Xiaofeng; Zhang, Jilian; Zhang, Chengqi (Springer, 2006)
    To complete missing values, a solution is to use attribute correlations within data. However, it is difficult to identify such relations within data containing missing values. Accordingly, we develop a kernel-based missing ...