XPost: comp.soft-sys.matlab   
   From: zhong_meiyi@hotmail.com   
      
   Hi all,   
      
   I need to generate association rules from a data set. this data set is   
   really huge (~5 million entries), with 40+ attributes, and these   
   attributes have values that are either nominal or numerical. I've   
   tried out several softwares, but I still can't find one that works   
   with my data set.   
      
   I've tried weka, but it does not accept numerical data. other then   
   that, its a pretty good software. I've also tried ARMADA, but it only   
   accepts data of string type.   
      
   I've also tried Christian Borgelt's apriori program but the attributes   
   are not taken into account. I could modify my data so that it is   
   possible to distinguish the attribute [e.g. if attribute duration has   
   values such as 0, 124, etc, i could change them to d_0, d_124, etc, to   
   show that these values belong to attribute duration.] However, this   
   isn't very efficient because i have 5 million entries and i would have   
   to manually change everyone of them.   
      
   I've tried Christian Borgelt's eclat program to generate frequent set   
   and the attributes are also not taken into account.   
      
   Can anyone recommend any other software? (i need them to be free   
   because i'm just a poor student doing research). Or if anyone has a   
   solution using the software mentioned above, please email me and throw   
   me a lifeline.   
      
   Any help is deeply appreciated. Thanks!   
      
   meiyi   
      
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