The STUDIA UNIVERSITATIS BABE┼×-BOLYAI issue article summary

The summary of the selected article appears at the bottom of the page. In order to get back to the contents of the issue this article belongs to you have to access the link from the title. In order to see all the articles of the archive which have as author/co-author one of the authors mentioned below, you have to access the link from the author's name.

 
       
         
    STUDIA INFORMATICA - Issue no. 2 / 2006  
         
  Article:   A STUDY ON DISTANCE METRICS FOR PARTITIONING BASED ASPECT MINING.

Authors:  GRIGORETA SOFIA MOLDOVAN, GABRIELA ŞERBAN.
 
       
         
  Abstract:  The aim of this paper is to make a study on the influence of distance metrics for partitioning based aspect mining. For this purpose, we comparatively present, from the aspect mining point of view, the results of three algorithms in Aspect Mining, kAM ([3]), HAM ([6]) and GAAM ([5]), for diferent distance metrics. The evaluation is based on a set of quality measure that we have previously defined in [1] and [2], and a case study is also reported. We introduce three diferent criteria on which our study is based.  
         
     
         
         
      Back to previous page