STUPIDSID
1(a)
Draw and explain the data warehouse architecture.
7 M
1(b)
What is OLAP? Give the difference between OLAP and OLTP.
7 M
2(a)
What do you mean by data mart? What are the different types of data mart?
7 M
Solve any one question from Q.2(b) & Q.2(c)
2(b)
List out the different schema of data warehouse and explain one of the data warehouse schemas in detail with suitable diagram.
7 M
2(c)
Explain detail about OLAP
servers.
7 M
Solve any one question from Q.3 & Q.4
3(a)
Draw and explain the data mining architecture.
7 M
3(b)
What is data cleaning? Describe the different methods of handling missing values during data cleaning.
7 M
4(a)
Explain the major issues in data mining.
7 M
4(b)
What is data transformation? Explain the different data transformation approaches for transforming data.
7 M
Solve any one question from Q.5 & Q.6
5(a)
Describe the various criteria for the classification of frequent pattern mining.
7 M
5(b)
Explain the following as attribute selection measure:
(i) Information Gain
(ii) Gain Ratio
(i) Information Gain
(ii) Gain Ratio
7 M
6(a)
Write and explain the algorithm for mining frequent itemsets without candidate itemsets generation with suitable example.
7 M
6(b)
Explain the various methods which evaluate the accuracy of a classifier or a predictor.
7 M
Solve any one question from Q.7 & Q.8
7(a)
Explain the typical requirements of clustering in data mining.
7 M
7(b)
Write a short note on Web mining.
7 M
8(a)
Describe and explain the different types of clustering methods.
7 M
8(b)
Write a short note on text mining.
7 M
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