data augmentation in Rapidminer possible?

Fred12Fred12 Member Posts: 344 Unicorn
edited November 2018 in Help

hi,

 

for thin datasets, I have heard from data augmentation, e.g.  creating data from existing data, It is applied with statistical techniques to create new data base on mean, variance, etc. of the attributes from the original data.

does there exist a similar operator to create augmented data based on some example set in Rapidminer?

 

http://www.stat.harvard.edu/Faculty_Content/meng/JCGS01.pdf

Answers

  • bhupendra_patilbhupendra_patil Administrator, Employee, Member Posts: 168 RM Data Scientist

    hello @Fred12

     

    Data augmentation should be possible with Rapidminer,

    For things like average, median, standard deviation, variance and many more the Aggregate operator can be very handy/

    There are other speciality operators like aggregation, products etc and

     

    Also there are advanced operators for feature generation, under Optimization>>feature Generation group that can be considered for your case.

     

    Hope this gets you started

    -bp

     

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