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FP-growth on marketing data

bernardo_pagnonbernardo_pagnon Member, University Professor Posts: 64 University Professor
edited March 2020 in Help
Hello,

is it possible to apply FP-growth when the variables are polynomial? I am trying to apply the operator to this dataset, from the book Elements of Statistical Learning: 

https://web.stanford.edu/~hastie/ElemStatLearn/

I am having issues because the variables are polynomial. Can FP-growth handle this data set?

Best,
Bernardo
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    yyhuangyyhuang Administrator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 364 RM Data Scientist
    Hi @bernardo_pagnon, which data you are using from ESL textbook? Are you able to share it here? Thanks!
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    bernardo_pagnonbernardo_pagnon Member, University Professor Posts: 64 University Professor
    I tried, but I guess it is not supported here.
    You got to enter here

    then click on "Data" (white button on the left), and the "Marketing", and then on the hyperlink "data".

    Regards,
    Bernardo



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    yyhuangyyhuang Administrator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 364 RM Data Scientist
    Thanks @bernardo_pagnon for pointing out the source data. Still I am not sure what you want to extract from the data. Did I get the wrong data (Link direct to the income survey data) with 14 demographic attributes?
    https://web.stanford.edu/~hastie/ElemStatLearn/datasets/marketing.data
    https://web.stanford.edu/~hastie/ElemStatLearn/datasets/marketing.info.txt
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    bernardo_pagnonbernardo_pagnon Member, University Professor Posts: 64 University Professor
    Yes, it is the correct one. My goal was to extract relationships between info available. I guess I identified the problem: different attributes use the number 1 through 5 for instance, to represent the different polynomial values at each attribute. But RM cannot differentiate two numbers "3" in two different attributes: they represent completely different things, but RM identify them as the same.
    I guess a solution would be to work with the data and generate different numbers for each attribute:

    Attribute 1: 1-9
    Attribute 2: 10-11

    and so on.

    Best,
    Bernardo
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    bernardo_pagnonbernardo_pagnon Member, University Professor Posts: 64 University Professor
    Interesting, will try that!
    Thank you so much for your time and for your patience.

    Regards,
    Bernardo
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