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Help! i have a question
Hi dear friends
theses days i was working on a data mining project for the first time and i faced with a problem
my data set was included of the result of 3 questions about 7 kind of sofa
for example:
which sofa do you prefer from quality aspect??
the answer could be from 1 to 7
and
which sofa do you prefer from price aspect??
and 3rd one was about color
so the result was a matrix of 100 people which were asked these questions with 3 column that were integer numbers from 1 to 7
now i wanted to apply association rule on this data set in rapid miner
and i expected to have such results : people have chosen first sofa from quality aspect usually have chosen third sofa from price aspect
and i expected to have such results : people have chosen first sofa from quality aspect usually have chosen third sofa from price aspect
but it was impossible because association rule module in rapid miner only works with Binominal data sets as you know ...
do you have any idea how can i solve this problem???
thanks for your help
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Best Answer
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Thomas_Ott RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,761 Unicorn
You'll have to convert your data set using the Nominal to Numerical operator, set at Dummy Coding. That will create new attribute columns but with 1's and 0's. From there you can use the Numerical to Binominal operator to convert them to true and falses.
0
Answers
I would look at using the Numerical to Nominal operator.
I would look at using the Numerical to Nominal operator.
i added the question on the forum u said .
about your suggestion i couldn't find the operator u introduced
anyway it cant solve the problem because being nominal dose not concern with my problem
if you want i can share data set with you which may helps understanding ...
thanks for your help
Rearguards
Hi dear Thomas
Thanks a million. It worked!:smileyvery-happy:
But I can’t understand the method and why I have used these operators. In fact I don’t know about Dummy Coding concept. Would you pls introduce me an article or sth which makes it clear for me??
Thanks again
Regards