XPost: comp.ai.neural-nets, sci.stat.consult   
   From: clearking@gmail.com   
      
   On Dec 3, 2:58 am, krishna  wrote:   
   > I have some data which belongs to a category (say cooking appliances),   
   > I would like to extract various attributes (e.g.,oven-safe, heat-   
   > resistant, size) applicable for that data. My approach is to get the   
   > most occurring patterns in the data and look at the top patterns   
   > manually and determine the attributes (e.g., inches, cms indicate   
   > size). Can I please know some (if any) well known algorithms that can   
   > be useful for this job, I have read that Naive-bayes, Support Vector   
   > Machines etc are used for classifying data and that they use some   
   > training data (which is already classified) to determine the   
   > classification criteria, I am not sure if and how these methods can be   
   > used for my task. I would appreciate suggestions on various   
   > approaches. I guess I can say that the answer I am looking is about   
   > automatic text classification.   
   >   
   > Thanks,   
   > Krishna   
   >   
   > PS. This is NOT my homework assignment :)   
   >   
      
   I'm not sure if your approach is appropriate, but you should go for   
   the frequent pattern mining method to find the most occurring   
   patterns.   
      
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