#2 Solved Example Apriori Algorithm to find Strong Association Rules Data Mining Machine Learning

#2 Solved Example Apriori Algorithm to find Strong Association Rules Data Mining Machine Learning by Dr. MAhesh Huddar
For the given dataset, apply the Apriori algorithm to discover strong association rules among image tags.
Assume that min_support=40% and min_confidence=70%.
Generate association rules from the frequent itemsets. Calculate the confidence of each rule and identify all the strong association rules.
Dataset contains 5 transaction. In each transaction few products were bought.
1 -- {Bread, Butter, Milk}
2 -- {Bread, Butter}
3 -- {Beer, Cookies, Diapers}
4 -- {Milk, Diapers, Bread, Butter}
5 -- {Beer, Diapers}
The following concepts are discussed:
______________________________
Solved Example Apriori Algorithm,
Solved Example to find Strong Associate Rules,
Apriori Algorithm to find Strong Associate Rules,
Association rule mining,
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[@souravbhagat1358]

Pls make a vedio on Direct hashing and pruning and dynamic item set counting.
These two algorithm have not in any other youtube channel

[@iriscidentelle]

Hello, Sir! What if I have a scenario wherein when I got to 2-item set, none is greater or equal to the given support threshold. what should be my next step then?

[@FarazYousuf]

Great Explanation! Thankyou :)

[@MaheshHuddar]

Welcome
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[@hasnainabbasi779]

@@MaheshHuddar why you dont use cookies? when it is there

[@amirbariklo7917]

thank you . it was very good

[@MaheshHuddar]

Welcome
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[@delmorop972]

Nice

[@dileepsaisharan9107]

Hi Sir, hope you are well. Thank you for your explanation, it really helped. I just want to point out that you forgot about the Cookies from the items.

[@MaheshHuddar]

Most Welcome
I will check
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[@sadikd4758]

Sir can u solve the model question which is released the today. 18CS71

[@user-nc8tw9tb5h]

Excellent explanation. thanks for this.👏

[@MaheshHuddar]

Welcome
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[@firstlast-mc6pn]

Thank you brother

[@MaheshHuddar]

Welcome
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[@shahariarsarkar3433]

Thank you sir. I appreciate your so nice explanation.

[@MaheshHuddar]

Welcome
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[@tashijawed5472]

Why are you taking frequent 2 item sets for generating rules? aren't we supposed to take only last frequent item set i.e 3 item set and make rules out of it only?

[@peoplepeople21]

did you find out anything about this

[@bharathdynamo9351]

yeahh!!!!!

[@goodstudy7948]

Reason?

[@chetansingh55]

​​@@goodstudy7948bcz initially, we are given that there are sometimes only 2 items bought together (see table at 00:33 . So we need to generate rules for pair of items also.
Thats why 2freq itemset is also used.

[@rohitvdeokate1625]

The reason taking only two frequent item bcoz we have to find which item is to placed left or right with which item..
We can find 3 frequent item but again we break that into two item set to find left and right item

[@abdulsvlog7303]

appreciate

[@MaheshHuddar]

Thank you
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[@abrahamrajan7013]

Sir...Itemset count while calculating minimum support count should be 6, why are you taking it as 5?

[@gnguyo]

It should be the number of transactions instead of itemset_count.

[@fugeratube1334]

Minimum support count = minimum support * number of transactions, not itemset_count .. he was wrong in that one..

[@dkheart3474]

@@fugeratube1334 dude how we calculate no of transaction..

[@fugeratube1334]

@@dkheart3474 u just have to count it... it's the total transactions occurred in this example their r 5 no. Of Transactions.

[@tsomashekarraju8479]

@@fugeratube1334 why he take cookies? in second item set