Re: Issues in using SPMF
Date: April 20, 2021 04:36PM
I see. It is just that the algorithm is slow.. Generally, when the minutil value is set to a small value, the algorithms will become slower and when minutil is set to a high value, it is faster.
For example, on that dataset, if i use a higher value, the algorithm will terminate. But if the value is too low, it will take a long time to terminate.
There is not much do to about this... If the algorithm is too slow, you can use another algorithm.
For example, with HUIM-BPSO-tree, the algorithm took about 25 second for minutil = 40000 on Foodmart
But if you use some exact algorithm like EFIM, it will only take 45 ms...
So it depends on the dataset: how many items, how many lines, how long each line is, do the lines are similar to each other ?
It seems that for Foodmart, it is just better to use an exact algorithm than an approximate algorithm.