Altair RISE

A program to recognize and reward our most engaged community members

Nominate Yourself Now!

why there is no Apriori and Eclat operator of association rules in Rapidminer？

lg21c

Find more posts tagged with

AI Studio

Accepted answers

YYH

There is an extension for weka operators
https://marketplace.rapidminer.com/UpdateServer/faces/product_details.xhtml?productId=rmx_weka
but honestly I never used w-Apriori before. Generally FP-Growth is much more efficient than Apriori.
Good luck!

Image: https://us.v-cdn.net/6030995/uploads/editor/gy/e6cwm5m9ub4k.png

BalazsBaranyRM

Hi,

association rule mining algorithms are meant to find the same rules. They are just different in terms of runtime on large data sets.

If you want or need to use Apriori, use the Weka implementation. It will just take longer.

I haven't heard about Eclat yet. It's surely implemented in R or Python so you could use it in RapidMiner with the respective extension.

Or you just use FP-Growth which is integrated and find the same rules you would find with the others.

Best regards,
Balázs

All comments

YYH

Check out the FP-Growth and the related operators. It is rule mining based on apriori and association.

lg21c

I mean Apriori and Eclat，it is quite different from FP-Growth.

how about Eclat？

https://en.wikipedia.org/wiki/Association_rule_learning