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International Journal of Intelligent Technology, Vol. 2, No. 1, pp 55-68, 2007




      Class Outlier Mining:
      Distance‐Based Approach
                                By
                 Nabil M. Hewahi and Motaz K. Saad

                             Presented by
                             Motaz K. Saad
                           msaad@iugaza.edu
                               Jan. 2008
Abstract
• In large datasets, identifying exception or rare
  cases with respect to a group of similar cases 
  is to be considered very significant problem.  
  (unusual pattern)
• The traditional problem (Outlier Mining) is to 
  find exception or rare cases in a dataset 
  irrespective of the class label of these cases, 
  they are considered rare event with respect to 
  the whole dataset. 
                                                 2
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Class Outlier Mining

  • 1. International Journal of Intelligent Technology, Vol. 2, No. 1, pp 55-68, 2007 Class Outlier Mining: Distance‐Based Approach By Nabil M. Hewahi and Motaz K. Saad Presented by Motaz K. Saad msaad@iugaza.edu Jan. 2008
  • 2. Abstract • In large datasets, identifying exception or rare cases with respect to a group of similar cases  is to be considered very significant problem.   (unusual pattern) • The traditional problem (Outlier Mining) is to  find exception or rare cases in a dataset  irrespective of the class label of these cases,  they are considered rare event with respect to  the whole dataset.  2