6. Apriori Algorithm with an example

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This video explains Apriori Algorithm with an example #ShravankumarManthri#CSEGURUS #ShravankumarManthri#CSEGURUS

[@RupaliTripathi66]

So far this is the only video I encountered in hours with proper explanation. Thanks a lot. Cheers :)

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[@kristenm3261]

Thank you! I watched 4 videos on this algorithm and I couldn't understand it until your video!

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[@christianlira1259]

Excellent logical build explanation and thank you for helping me clearly understand the Apriori Algorithmank functionality. Thank you also for making this video. Much appreciated

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[@appophiss3890]

extremely helpful, thanks for taking the time to explain this thoroughly

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[@rabiasharif2820]

@@CSEGURUS hi sir, can u pls tell if min support count is 3.2 Or 3.4 what to do

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[@dinosilooy2228]

Sorry sir, but C2 means 2-candidate itemset, and for frequent-2 itemset is denoted by L2. Anyway, thanks for the video. It helps me to get a better understanding.

[@dharmanshah1239]

Best videos on this topic.Keep up the good work sir.Cheers!!

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[@shaziyasultana4373]

This video was very much useful, helpful to me..

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[@radouaneaarbaoui7206]

Very good job. I love the simplicity of this explanation.

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[@ajaykumarprasad8849]

I couldn't start my assignment.
But now I can.
Thanks a lot.

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[@ASIFAlI-lq4rd]

best video on apririo topic

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[@rockeyrockey760]

✨❤️❤️❤️ very clear explanation sirr thank you so much!!!!!!

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[@recamnyange8227]

thanks, you make me understand and i have full confidence to take my exam

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[@prateekshapatil]

thanks a tonnn sir... Will rock my exam tomorrow :)

[@naninani9812]

Your explanation is very well
Good keep it up...

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[@dhavalkalaria5384]

Was stuck at one step..thanks for clearing my doubt 🙏

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[@qcap]

Clean and crisp explanation. Very useful and lucid.

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[@malikumarhassan1]

Thanks a lot , for this great explanation.

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[@bottasumanth8393]

Very good teaching sir. All my doubts were satisfied with ur explanations.

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[@abhinetrakumar]

Thank you so much sir for this amazing explanation🙏 ❤️

[@mjenny4592]

Easy explanation....... ThankYouuuu

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[@kirtipriyamvadatangirala5956]

explained in a simple easy to understand way thank you sir

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[@superflex007]

Very well explained

[@suryatamil1471]

Extremely awesome and clear cut explains..thanks for making this video go-ahead

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[@prashantmarathe6515]

excellent stuff brother,doubts are clear! thank you!!!!

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[@ayikkathilkarthik4312]

Doubt here:
While generating C3, don't we have to generate all possible candidates. And then while generating L3 we have to remove those having less support than the minimum support. Why you have directly removed sets having less support while generating C3?

[@sachinramesar3183]

I think you must ignore all infrequent 2-itemsets when determining C3. So all 3-item sets which contains {I1, I4}, {I3,I4}, {I3,I5}, {I4,I5}, must be ignored. It's the Apriori principle: If an itemset is frequent, then all of its subsets must also be frequent. (That is, if a subset of an itemset X is infrequent, the
itemset X is infrequent)

[@prajwalmore2098]

just one video and i get it... Thank you sir. 🙏

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[@kamathprajna]

Thank you .. 👍

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[@ravikumarsampadarao8547]

tq for u r neat and clean explanation

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[@chirraswathi7195]

Thank you soo much for bettter explanation

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[@gayatrikuna1660]

Thank you so much...its very easy to understand 😊

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[@jishajustin9523]

Excellent teaching. God bless you

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[@manimarans176]

Thank u very much .. Very helpfull ..

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Thank you sir.

[@akshatanand5804]

Really this is a exam saviour video , thanks👍

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[@balla4004]

Thanks 😊

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[@muhammadabdullah7326]

A very Nice explanation bro

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[@G_Nath]

Nicely explained. Thank you so much

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[@NVAKAYAMINI]

Clear and detailed approach

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[@dubalikessuba3833]

Amazing lecture sir! Thank you

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Saviour before exam 👊🙌

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[@syedmuzzammil13]

Amazing explanation

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[@MobileHuber]

What if in question minimum support is 2 and confidence is 60% given.So how to find confidence?

[@philipdevasia1135]

Confidence is for generating strong association rule. Watch other video of his

[@pushparoyal46]

Thank uh sir nice explanation

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[@pavanimatta2655]

Ur Explanitation is very good easy to understand

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[@vishalmishra7018]

Great explanation

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[@mr_koyya]

Good explanation sir tq♥️

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[@vamsikrishnagannamaneni912]

Great explanation, made everything clear

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Thankyou sir 🙏

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Thanks

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[@anjualias9322]

Very good explanation.Thank you so much!

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[@gihan_liyanage]

well explained.. thank you very much...

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[@Digitabe]

Very well explained, thank you!

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[@-R-Prashanth]

thanks for making this video..sir

[@manchaiahmanchaiah2448]

Hello. If they gave min support as 22% then how can I convert into 1 digit

[@csnotes599]

Thank you sir 🥺

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[@ArunKumar-ir5tp]

Really so helpful to your explanation sir. thank you so much

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[@jayasuryagunasekharan423]

Good job!!!

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Thank you so much for this video!

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[@nurshahiraruslan3796]

Thank you sir

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[@buttercup2404]

amazing explanation

[@adisingh9341]

At 5:10
Is that minimum support count = 2 given in question. Of not then how to find that ?

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[@parshuram7431]

I was expecting association rules to be explained at the end.😔

[@CSEGURUS]

I made it as a another video.. You can watch here...ua-cam.com/video/UP4ezNZfcH0/v-deo.html

[@parshuram7431]

@@CSEGURUS yeah I found that video later on as I searched this channel.
Thank you sir.

[@manojk1849]

@@CSEGURUS A database has four transactions. Let min_sup=60% and min_conf-80%
TID
Date
Items Bought
100
10/15/2018
{K, A, B, D}
200
10/15/2018
{D, A, C, E, B}
300
10/19/2018
{C, A, B, E}
400
10/22/2018
{B, A, D}
1)Find all frequent items using Apriori & FP-growth, respectively. Compare the efficiency of the two-meaning process.
2)List all of the strong association rules (with support 's' and confidence 'c') matching the following meta-rule where X is a variable representing customers, and item i denotes variables representing items (e.g., "A", "B",etc.): Vx C transactions, buys(X,item1) ^ buys(X,item2) => buys(X,item3) [s,c]
Please explain this example sir

[@manojk1849]

hope I will get solution sir

[@aslam5509]

Wow superb

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[@techteens694]

Really good explanation, Thank you!

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[@argachewbryene2786]

ypur explanation is good,continue in such a way!!!

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Thank you. Keep Learning. and Suggest me the topics that you require.

[@yosuajuliando]

ask. Is it if we only want or are only able to make 3 iterations, does that violate the Apriori concept itself?

[@AmitRBej]

In prune step C(k) is a superset of L(k) not L(k-1).

[@pantomath7089]

Nice clear explanation! 👍

[@CSEGURUS]

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[@aveenperera3128]

great teaching. Thank you

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[@sujathasivakumar6422]

Super explanation sir.if min support count is in point (eg 3.4).how to solve that

[@melvincotoner4878]

thank you

[@CSEGURUS]

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[@priyapriya8238]

Sir please solve modified frequent pattern growth algorithm please 🙏🏾🙏🏾🙏🏾🙏🏾🙏🏾🙏🏾🙏🏾🙏🏾🙏🏾

[@CSEGURUS]

Pls watch it here..
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[@ispeakfactslol]

THANKYOU

[@CSEGURUS]

Most wel come and Keep Learning..

[@theanimeguy.9881]

thanks a lot

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[@anastasiiamalyk1706]

Thanks for the explanation!

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Keep Learning...

[@thechannel8764]

keep learning

[@rabiasharif2820]

I understood your apirori algorithm video it was very helpful, but I am left with one
query that is if min support count is let say 3.3 or 3.4 not 3.5 after multiplying support threshold with total transactions what can i do Can i omit it and write 3?

[@CSERISHINANDHA]

ayo did you find the answer? my exams comin up quick and i needa know that!

[@saraeskandarirad3436]

great thanks

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[@shruthisiddam9289]

Thank you....

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You're welcome...

[@priyankapasupuleti5892]

Superb explanation.tqs a lot

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[@karthikashanmugasundaram9179]

very clear explanation

[@CSEGURUS]

Thanks for liking..

[@CSEGURUS]

Please try this too...
Next 50 mcqs
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[@zainabmahyob8641]

Thank you alot
is I1,12,13
I1,I2,I5 is the candedat support ??

[@MrColinGiam]

Hi, May I ask why association rule isn’t good in mining numerical value?

[@CODEMASTER_TUTORIALS]

Great going sir :) Thank you 🙂

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Most welcome 😊 Keep Learning..

[@gavingaydon5949]

What a legend.

[@CSEGURUS]

Most welcome for ur words.... Keep Learning...

[@nishatfatima2277]

Should we find association rule for both I1,I2,I3 and I1,I2,I5 or any one is enough??

[@CSEGURUS]

All the frequent patterns have to be taken for generating Association rules. So here we have to take both.

[@farsanaps1873]

thx sir😊

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[@rajarathnamghanta1498]

Excellent explanation sir

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[@578n.jhansisri5]

Sir ,if possible please make videos in other algorithms like decision tree, linear regression ect.

[@aajumadhavan7341]

sir suppose if they given min support 60%how to solve it sir?

[@annubabu5724]

Very helpful lecture 👍

[@CSEGURUS]

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[@shadabshariff3578]

apriori risk 1 in 760 means wat sir

[@fasnack4350]

Ur explanation good..

[@CSEGURUS]

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[@balachandrikathottempudi1987]

Her you take min support as 2 right? y do u take as 2 only? it is not given right?

[@CSEGURUS]

Minimum support always will be mentioned in the question. Otherwise the Question is incomplete.

[@ashwinikoti3788]

Sir plc upload data analytics videos. ..like naive -Bayes analysis , support vector machines, Web mining...vtu syllabus concepts

[@CSEGURUS]

yes. i will try. can u send the syllabus to [e-mail].

[@layarathala199]

Tq sir

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[@zenemj]

very well explanation.

[@CSEGURUS]

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