Hash Tree Method to Count Support in Apriori Algorithm | Insert | subset(Ck, t) function

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This video explains how to store all candidates in a hash tree and then use the subset(Ck, t) function to find all candidates in the transaction t. In this case, only one database scan is needed to get the support count of all candidates at one level, greatly improving the performance.

0:00 Introduction
2:04 Store candidates in a hash tree
6:48 Subset function
14:00 Review
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very helpful, i was studying data mining and i couldn't understand how to split nodes into hashing tree even if i had examples on my text book. Thanks a lot !

MegaMetalrulez
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Thank you so much, this helped a lot and is clearly understandable

rohitreddy
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谢谢姐, the hash function when we have 3 itemsets is always x mod(3) right ?

ayoubhamidi
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one question when you used X3 mod 3 lets say for example that the childs generated for this exceded 3 so then i need to split but do i split X1 or X2 or X3?

ahmedmazen
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