My project is about Data mining (in MATLAB) and want to use Apriori and FP-GRowth to extract rules (Associate Rule Mining).
I read in somewhere on the internet, FP-Growth should be faster than Apriori because FP-Growth using tree but I'm wondering Apriori is very faster than FP-Growth why?
Is that normal? Is it a bug or something in my codes? or it can be because of my 11 features, it's too much?
My Data set have 11 Items(Columns/features) and only 118 Rows(observation) like:
1 4 9 12 13 16 19 23 27 30 31
1 4 7 10 13 17 19 23 26 29 31
This sample is really important to me, if you have any idea please let me know.