Apriori or Eclat algorithm for Association rules?

Which of the algorithms is better and why? Eclat or Apriori?
July 9th 19 at 10:34
1 answer
July 9th 19 at 10:36
Briefly Eclat -- DFS search, while Apriori -- BFS.

All the top pattern mining algorithms are based on DFS (e.g., prefixSpan, gSpan; no need to store front, efficient clipping), so Eclat for unstructured data a good choice.

Or even better-declarative miningZinc based on constraint programming:
https://dtai.cs.kuleuven.be/CP4IM/miningzinc/
I read that Eclat works quickly with a small amount of data, at high volumes it is better to make a choice in favor of Apriori. Why? - nedra.Mills31 commented on July 9th 19 at 10:39
Where it is written? - rylee.Murray commented on July 9th 19 at 10:42
: The website some read, found a link to it( I compared the algorithms Apriori and Eclat in RStudio. The original data was a shopping basket. I got that Eclat with decreasing values support the speed of building regulations has increased very slightly (1-2 seconds), and Apriori were just hanging out. Actually I typed all these results in a table and concluded that with decreasing support for the Eclat algorithm is faster for databases of 10K shopping cart. Now you need to make one more comparison, but what? I can not understand. Increase the number of data with duplication came from 10K to 250K, only increases the time taken to build rules using Apriori and Eclat is as under 10K. Anything you can recommend? And a second question.. If Eclat faster, why basic is considered Apriori, along with FP-growth? I need for the thesis to conclude the comparison of Apriori and Eclat. - nedra.Mills31 commented on July 9th 19 at 10:45

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