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H192009 Pages: 3

Show weight and bias updation with the first training sample (1,0,1) with class

label 1, using backpropagation algorithm

Explain classification by C4.5 algorithm.
What is meant by Maximum Marginal Hyperplane (MMH)?
PART D
Answer any two full questions, each carries 12 marks.
Consider the transaction database given below. Set minimum support count as 2

and minimum confidence threshold as 70%

Transaction ID | List of Item_Ids

T100 11,12,15
1200 12,14
1300 12,13

1700 11,13
1800 11,12,13,15

T900 11,12,13

Find the frequent itemset using Apriori Algorithm.

Generate strong association rules .

Explain DBSCAN algorithm .

State the pros and cons of DBSCAN method.
Explain clustering by k-medoid algorithm.

Explain Apriori based frequent subgraph mining.

RK

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