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Data Mining & Business Intelligence - May 2013
Information Technology (Semester 6)
TOTAL MARKS: 80
TOTAL TIME: 3 HOURS
(1) Question 1 is compulsory.
(2) Attempt any three from the remaining questions.
(3) Assume data if required.
(4) Figures to the right indicate full marks.
1 (a) Give different between OLTP and OLAP(5 marks)
1 (b) Explain DBSCAN.(5 marks)
1 (c) Give difference between Classification and Clustering.(5 marks)
1 (d) Explain constraint based association rule mining.(5 marks)
1 (e) Explain Regression.(5 marks)
2 (a) List the dimension and facts for hospital management system and also draw star schema and snowfalke schema.(10 marks)
2 (b) Why preprocessing is required?(5 marks)
2 (c) Explain multidimention association rule.(5 marks)
3 (a) What is web structure mining? Explain Technique of web structure mining.(10 marks)
3 (b) Explain data descritization and summarization with example.(10 marks)
4 (a) Define the following terms with example-
(i) Item set (ii) frequency item set (iii) closed item set.(10 marks)
4 (b) What is Market basket analysis? Explain its use.(10 marks)
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 |
{2,3,7,8,9,15,17,19,25}.(10 marks) 6 (b) Explain Hoeffding tree algorithm with example.(10 marks)
Write short notes on any three :-
7 (a) Spatial data cube construction(7 marks) 7 (b) Bayesian classification(7 marks) 7 (c) Text mining approaches (7 marks) 7 (d) Issue in data mining(7 marks)