L44: Association Rule Mining | Solved Numerical Question 2 on Apriori Algorithm | DWDM Lectures
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- Опубліковано 13 вер 2024
- Full Course of Data warehouse and Data Mining(DWDM): • Datawarehouse and Data...
In this lecture you can learn about Association Rule Mining - Solved Numerical Question 2 on Apriori Algorithm in Data warehouse and Data Mining(DWDM) Course. Following topics of Data warehouse and Data Mining(DWDM) Course are discussed in this lecture: Association Rule Mining - Solved Numerical Question 2 on Apriori Algorithm: For the following given transaction data set generate rules using Apriori Algorithm. Consider the values as Support=22% and confidence=70%. This topic is very important for College University Semester Exams and Other Competitive exams like GATE, NTA NET, NIELIT, DSSSB tgt/ pgt computer science, KVS CSE, PSUs etc.
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It will not generate any new rules from (I1, I2,I3), because the confidence of all set is less than 70%.
Only three rules will be created.
shut up
Thanks dude! u r a life saver!!
we can convert support % into value.. it would be easy to solve.
There is not generating any other rule from I1I2I3. Is that right sir?
yes
Very well explained!!
Set the play back speed to 0.5x and learn from a drunk teacher😂
2x bhi normal h
Thanks a lot sir.. You have done a great job
Last minute exam revision so much helpful.
Thank you sir...now the concept was cleared
I watch this video and my doubta about this topic has been cleared
why not in previous (i.e 1st video of this playlist) q we created a set of 3 just like this q? By the way thanks for making such informative videos
bcz in 3 sets it was giving the support less than minimun support
Thank you sir very nice explanation of data mining
Hie sir in (I1, I2, I3) all pair confidence is less than 70%... So no pair is formed.
obviously but he didnt say that did he.?
@@prathisahrudh that was assignment 😋
I3->I1,I2
yes
Thank you sir . the concept was cleared but once again you should tell how to take union and all because if someone directly access this video than after watching 10 Mins he will have to check part 1 or previous video !!!!!!!!!!!!!!!
Thanks sir😊
In machine learning this tutorial are valid
Nice sir...
Slow at 2x as well.
Iska previous video kidher hai??!
Love from Pakistan
Plzzzzzzzz arrange the videos sequentially...... or plz just no. the videos coz it becomes very hard to find which topic to complete first
Please share some books link for more detail and information thanks
recheck your video from 10:00 min and if u also think its mistake there then just upload anther of correct your mistake...
what was the problem BTW?
why only (I1 , I2 , I3 ) is taken for L3 , why not (I1 , I2 , I3 ) and (I1, I2 , I3) both are taken ??
Sir hme kese pta chle ga ki hme 2 ka set bnana hai ya 3 ka.
sir is ma hm 3 values ka set ni banay gy
why did the sets did not go till level 4
Because support will be less than 22.2%
Step-4:
Generate candidate set C4 using L3 (join step). Condition of joining Lk-1 and Lk-1 (K=4) is that, they should have (K-2) elements in common. So here, for L3, first 2 elements (items) should match.
Check all subsets of these itemsets are frequent or not (Here itemset formed by joining L3 is {I1, I2, I3, I5} so its subset contains {I1, I3, I5}, which is not frequent). So no itemset in C4
We stop here because no frequent itemsets are found further
Thus, we have discovered all the frequent item-sets. Now generation of strong association rule comes into picture. For that we need to calculate confidence of each rule.
l1I2I3 all less then 70%
No valid rule come from(i1,i2,i3),
combination kaise kiya rules ka
sir can you provide hand written notes?
Last wala confidance smj ni aya
data ming and warehouse notes please
There's a calculation mistake while making a 2 item set. Rectify that and you will get the valid answer.
I re-calculated, but found no error. Maybe it is a mistake on your side.
Ye 9 kyu liya gya h
where is the pair of (i1,i2,i4)
It was removed because (i1,i2,i4) support =1/9=11.1 ,11.1 is less than given support =22%
In c3 where is i3
Very bad explanation chala mistakes vunai