"Applying association rules"
nealhicks
New Altair Community Member
Hi everyone!
I am new to data mining, but I've been studying up a lot to try and understand everything better.
I produced association rules in R using the arules package. I am trying to use this for prediction on a different set of transactions. I looked through the operator reference guide online but couldn’t understand much. I am hoping to get some help on using a subprocess operator with the apply association rules operator.
Thanks in advance for your time and help!
I am new to data mining, but I've been studying up a lot to try and understand everything better.
I produced association rules in R using the arules package. I am trying to use this for prediction on a different set of transactions. I looked through the operator reference guide online but couldn’t understand much. I am hoping to get some help on using a subprocess operator with the apply association rules operator.
Thanks in advance for your time and help!
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Answers
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Have a look at the tutorial process for the Execute R operator "Training and Applying a Linear Model", you'll see that it uses Execute R to apply the model to the data.
This is because for models built in R you need to apply them to your data with R. If you use RapidMiner's Create Association Rules with RapidMiner you can apply those association rules with the standard RapidMiner operator.
Hope that helps.
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