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  Burton, S. Add to Alert Profile  
 
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  Behavior-based clustering and analysis of interestingness measures for association rule mining
Tew C., Giraud-Carrier C., Tanner K., Burton S.  Data Mining and Knowledge Discovery 28(4): 1004-1045, 2014. Type: Article, Reviews: (2 of 2)

When onions and tomatoes are in a basket, it is likely that lettuce will be found also. Data mining can discover a large number of association rules like this one. Through research in association rule mining, a variety of measures have been define...
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May 26 2015  
  Behavior-based clustering and analysis of interestingness measures for association rule mining
Tew C., Giraud-Carrier C., Tanner K., Burton S.  Data Mining and Knowledge Discovery 28(4): 1004-1045, 2014. Type: Article, Reviews: (1 of 2)

A thorough survey and detailed account of methods for association rule mining, this paper outlines a new approach to calculate interestingness by clustering 61 interestingness measures....
...
Sep 25 2014  

   
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