HI, i new to knime and this is very very very urgent. It seems to show cannot display the dialog for me to configure, can you help me?rule mining.knwf (25.6 KB)
Hi @VanessaSia and welcome to the Knime community
Could you please upload here the “Fresh Market.csv” file too ? Thanks.
Fresh Market.xlsx (865.8 KB)
And also how do i do make antecedent and consequent also confidence and lift?
Am I doing right? I wanna cry, very stressed out. Need to be done in 2 days
I got the data. I’m first trying to understand what you want to implement. Give me please a few minutes …
Thank you very much!!!
My pleasure. I have never used the -Association Rule Learner (Borgelt)- node, but from what I see, I guess you need to build a collection of Item Descriptions first. One way to achieve this, it is to use the GroupBy node to generate a collection of Items per “Member_Number”. I have also sorted the rows by date because I believe it is important but this is just a guess on my part though !
Please find a workflow here attached below which may bring some help:
Hope it helps. Otherwise please ask again and we will try to help you further.
PS: Note I have included your data into a folder inside the workflow. The folder is referenced in the -Excel Reader- node through a relative link:
Please do this way when you need to share a workflow with other Knimers so that it is easier to execute your workflow
Thank you sooooo much
My pleasure @VanessaSia and good luck with your assignment ! No need to stress, cool lol, we are here to help !
s3 (2).knwf (159.6 KB)
Hi again, i wanted to put member and item to antecedents and consequent, how i should do that?
im referring to example in knime hub 50_Applications → 16_Market Basket Analysis
I have made a few modifications which I believe fixed the problem to run it up to the end. However I notice that when run, it generates huge tables and takes a lot of disk space. I hope this is ok for what you expect to be the results.
I have reset the workflow since it was too big to be uploaded here:
Hope it helps.
If you use the algorithms they all can be configured and depending on your data the settings might differ.
Also I do not want to add more complexity. If this is an academic assignment typically it does make sense to stick to the task.
And rule learning can take a lot of ressources, indeed.
Thank you soo sooo much!!!
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