MCA - 3106
2034/-1/03
M.C.A. DEGREE EXAMINATION-2003
Third Year
FIRST SEMESTER
ELECTIVE II: DATA WARE HOUSING AND DATA MINING
(Effective from the admitted batch of 2000 - 200 1)

Time: 3 Hours
Max. Marks: 75

First question is Compulsory.
Answer any four form the remaining questions.
All questions carry equal marks.
Answer all parts of any question at one place.

1. Briefly discuss
a) Data Warehouses
b) Data cleaning
c) Data Mining Primitives
d) Data Generalization
e) Ice berg query

2. a) Briefly explain advanced Database Applications.

b) Explain functionalities of Data mining.

3. a) Describe any Data Ware House Architecture.

b) Describe development of Datacube Technology.

4. a) What is Data Mining Task? Write different approaches of data transformation.

b) Explain Analysis of Attribute Relevance.

5. a) Discuss the essential features of any Data mining Query Language.

b) Explain Mining single Dimensional Boolean Association Rules from Transactional Data bases with an illustration.

6. a) Explain why mining Descriptive statistical measures in large databases are needed.

b) Discuss constraint Based Association Mining.

7. Write an Algorithm for finding frequency item sets for Mining Multilevel Association Rules from Transactional Databases.

8. a) Explain Bayesian classification.

b) What is Cluster Analysis? Briefly discuss about types of Data in Cluster Analysis.