Course: 05, 12
Time: 2.30 Hrs. M.M.: 75
1. Note: Attempt any four questions. 5 x 4 = 20
a) What is data mining? why data mining is important now days.
b) Define the decision tree and duster analysis.
c) Explain query management processing in data mining.
d) What are Neural Networks?
e) What is a data mark? Also, pint the criteria of a data warehouse.
f) What is the discovery model in a data warehouse?
2. Attempt any two parts: 2 x 10 = 20
a) Explain warehouse architecture and problems with the data warehouse?
b) Describe the work area of data mining, in brief.
c) What is OLAP in data mining? How OLAP and OLTP arc different.
3. Write difference any three: 3 x 5 = 15
a) Operational system Vs Information system.
b) Historical database Vs Traditional database.
c) Data mining Vs Machine Learning.
d) Decision tree Vs Rule induction.
4. Write short notes (any five): 5 x 4 = 20
a) Data Visualization
b) Data and Information
d) Sequential pattern
e) Data mart, data repository & meta data (f) Data mining models.
f) Application of Data warehouse.