1
Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
MCA SEMESTER- IV• EXAMINATION SUMMER 2017
Subject Code: 3640006 Date: 06/06/2017
Subject Name: Data Mining
Time: 10:30 am 01:00 pm Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
Q.1

Define/explain following terms:
1. MOLAP
2. Wave Cluster.
3. Data cleaning
4. Spatial Mining
5. Predictive Model
6. Drill-down operation
7. Naïve Bayesian classification
07

Explain the steps of knowledge discovery in databases?
07
Q.2

1. Explain the architecture of data mining system.
2. List out the difference between OLTP and OLAP.
03 04

What is market-basket analysis? Explain with example.
07
OR

Explain techniques to improve the efficiency of Apriori algorithm.
07
Q.3

1. What is the use of Regression?
2. Explain Classification by backpropagation
03 04

Describe the different classifications of Association rule mining.
07
OR
Q.3

1. What is Frequent Pattern Mining?
2. What do you mean by Cluster Analysis?
03 04

Explain classification by Decision tree induction.
07
Q.4

1. What are the requirements of cluster analysis?
2. What are the different types of data used for cluster analysis?
03
04

Explain density based method of clustering in detail.
07
OR
Q.4

1. Explain text database mining
2. What is Hierarchical method in clustering?
03 04

Explain the partitioning method of clustering in detail.
07
Q.5

Explain how data mining is used in Banking Industry?
07

Explain Data mining applications for Financial data analysis?
07
OR
Q.5

Explain Data mining applications for Retail industry?
07

Explain how data mining is used in Health care analysis?
07