did you compared your algorithms performance with corels?

[Sandy4321]

did you compared your algorithms performance with
https://github.com/nlarusstone/corels

by the way
as written in
https://arxiv.org/pdf/1911.03249.pdf
This is a post-peer-review preprint version of an article published in American Behavioral Scientist. The final version, including a freely accessible appendix with a list of software implementations, is available online at: https: //journals.sagepub.com/doi/full/10.1177/0002764219859639.
but this link
https://journals.sagepub.com/doi/full/10.1177/0002764219859639
is not giving free this paper

[kliegr]

You have a wrong arxiv link, where did you find it?
The right one is: https://arxiv.org/abs/1711.10166
This contains a comparison to SBRL, of which CORELS is an extension.
A comparsion between CORELS and SBRL can be found e.g., in https://pdfs.semanticscholar.org/2962/91df7a2052b70e094330bce9005147d70014.pdf.

[Sandy4321]

Great thanks for soon answer
Let me see this cool papers

[Sandy4321]

regarding to SBRL in your paper
may you clarify these 2 contradictions

as written in page 4
https://arxiv.org/pdf/1711.10166.pdf
1 The reference SBRL implementation uses ECLAT [47].

47. Zaki, M.J.: Scalable algorithms for association mining. IEEE Transactions on Knowledge
    and Data Engineering 12(3), 372{390 (2000)

vs page 33
another place
Most association rule learning algorithms (such as Apriori, FP-Growth or Eclat
[19]),
19. Han, J., Cheng, H., Xin, D., Yan, X.: Frequent pattern mining: current status and future
directions. Data mining and knowledge discovery 15(1), 55{86 (2007)

so what is reference to this ECLAT which SBRL implements ?