The Weka Apriori node can handle only non-numeric columns. In seems that your trying to input integer values. Within the dialog the node should complain about "incompatible column types". The solution is pretty easy, you can use the Number To String node and convert all integer columns into strings before you apply the Weka Apriori node.
thanks for your answer Tomas; I did that and it works but with a little data because when I use a huge number of transactions (total=79.300) I have this message error in the Apriori node : Aprirori cannot handle string attributes!! so now I don´t what its the problem now.... if you can help me please :) im desesperated with this proyect..
I am not sure, I understand the problem: when increasing the number of rows you get an error that the Apriori node can't handle string attributes, is this correct? Can you please check again, if all columns have the same type... Can you shortly sketch how the table structure looks like?
Hi Tomas, look i have this transactional format for Apriori:
there are like 65.000 transactions where each has related diferents codes ( 1 <code < 2600). When I read de file.csv there is no problems with this (I use "Number to String" to transform the number attributtes in string attributes), but when Im going to use the Apriori Node, this fail and send me this error messagge:
Have you tried do that with Association Rule Learner node in KNIME?, it is pretty easy. All you need is a base with just two columns, one with de number of transaction and other with the product, just acuevas shows. To obtain the basket you have to use a Group by node and then connect Association Rule Learner node.