STUPIDSID
Solve any four from the following:-
1(a)
Compare Data mining and Text mining.
5 M
1(b)
What is Web Usage Mining?
5 M
1(c)
What are the major issues in Data Mining?
5 M
1(d)
Explain multilevel association rules.
5 M
1(e)
Compare database and data warehouse.
5 M
2(a)
Explain mining sequence patterns in transactional Databases.
10 M
2(b)
Explain any one method of hierarchical clustering with example.
10 M
3(a)
Explain different data stream methodologies.
10 M
3(b)
Explain Data Integration and Transformation with an example.
10 M
4(a)
Explain Hoeffding Tree algorithm with example.
10 M
4(b)
List the dimensions and facts for clinical information system and design star and snowflake schema.
10 M
5(a)
Explain different OLAP operations and applications.
10 M
5(b)
Use K-means algorithm to create 3 clusters for given set of values {2,3,6,8,9,15,18,22}
10 M
6(a)
Design a BI application which will provide Retail Chain Company with features and performance that meet their objectives. Use any Data mining technique.
10 M
6(b)
Explain Web content mining with reference to crawlers, harvest system, virtual web view and personalization.
10 M
Write short notes on any three :-
7(a)
Difference between Periodic crawler and Incremental crawler.
7 M
7(b)
Spatial Data Mining.
7 M
7(c)
Market Segmentation.
7 M
7(d)
Outlier analysis.
7 M
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