FP Growth Algorithm: Association Rule Mining

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The FP-Growth Algorithm, proposed by Han in, is an efficient and scalable method for mining the complete set of frequent patterns by pattern fragment growth, using an extended prefix-tree structure for storing compressed and crucial information about frequent patterns named frequent-pattern tree (FP-tree).

Tech and Man

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errors in the video:

in case of e:: acde:1 was not calculated (though it wont be included)
in case of d:: count of a is 4 and d:5 was not included
in case of c:: instead of bc:3 and abc:2, it should be bc:5 and abc:3

hitman

At 14:07, for the item sets ending with 'd', shouldn't the count of item 'a' be 4 instead of 2?

shawnmathew

Best explanation of getting frequent itemsets.

areebafatima

you missed acde:1 when ending with e and a=4when ending with d

zhironggu-jm

Is that hello at 11:19 a mic check? The content is wonderful, but poor audio. Thanks boss!

ifargantech

i dont get candidate itemset with count of each w.r.t. and frequent itemset can someone explain ?

kutaykaykc

In frequent items for C shouldn't BC:5 and ABC:3

samikshasalunke

Only one thing, please work on your audio. It wasn't very clear.

areebafatima

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