STUPIDSID
1 (a)
Give different between OLTP and OLAP
5 M
1 (b)
Explain DBSCAN.
5 M
1 (c)
Give difference between Classification and Clustering.
5 M
1 (d)
Explain constraint based association rule mining.
5 M
1 (e)
Explain Regression.
5 M
2 (a)
List the dimension and facts for hospital management system and also draw star schema and snowfalke schema.
10 M
2 (b)
Why preprocessing is required?
5 M
2 (c)
Explain multidimention association rule.
5 M
3 (a)
What is web structure mining? Explain Technique of web structure mining.
10 M
3 (b)
Explain data descritization and summarization with example.
10 M
4 (a)
Define the following terms with example-
(i) Item set (ii) frequency item set (iii) closed item set.
(i) Item set (ii) frequency item set (iii) closed item set.
10 M
4 (b)
What is Market basket analysis? Explain its use.
10 M
5 (a)
Following table gives fat and proteins content of items. Apply single linkage clustering and construct dendrogram :-
| Food Item | Protein | Fat |
| 1 | 1.1 | 60 |
| 2 | 8.2 | 20 |
| 3 | 4.2 | 35 |
| 4 | 1.5 | 21 |
| 5 | 7.6 | 15 |
| 6 | 2.0 | 55 |
| 7 | 3.9 | 39 |
10 M
5 (b)
Explain spatial data mining (SDM). Also explain a model of spatial data warehouse.
10 M
6 (a)
Use k-mean Algorithm to create three cluster for given set of values :-
{2,3,7,8,9,15,17,19,25}.
{2,3,7,8,9,15,17,19,25}.
10 M
6 (b)
Explain Hoeffding tree algorithm with example.
10 M
Write short notes on any three :-
7 (a)
Spatial data cube construction
7 M
7 (b)
Bayesian classification
7 M
7 (c)
Text mining approaches
7 M
7 (d)
Issue in data mining
7 M
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