M.B.A. (INFORMATION SYSTEM) DEGREE EXAMINATION 2012 (SECOND YEAR)

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20 Νοε 2013 (πριν από 3 χρόνια και 8 μήνες)

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Total No. of Pages:

1









6
5
8
4

Register Number:

Name of the Candidate:


M
.
B.
A
.

(
INFORMATION SYSTEM
)

DEGREE

EXAMINATION


20
12

(SECOND YEAR)

(PAPER


XII
I
)


260
. DATA

WAREHOUSING AND DATA

MINING

Dec.
)








(
Time: 3 Hours

Maximum: 100 Marks


PART
-
A

(
5

×
3
=
15
)



Answer any
FIVE
questions


1.


Explain the various classification of data mining system.

2.

Compar
e OLTP and OLAP systems.

3.

Why data cleaning is needed?

4.

Write a note on mining quantitative association rule.

5.

What are the typical requirements of clustering in data mining?

6.

Explain the data cube concept.

7.

Why tree pruning is useful in dec
ision tree induction?

8.

What are the steps to be considered when implementing a data warehouse?



PART
-
B

(
3

×
1
5
=
45
)


Answer any THREE questions


9.


Discuss the major issues in data mining.

10.

Explain the architecture of a typical data mining system with a neat diagram.

11.


Briefly explain how to integrate the Data mining with a database system or a data warehouse
system?

12.

Explain Bayesian classification with an example.

13.

Write a deta
iled note on various partitioning clustering methods.



PART
-
C

(
1
×
15=15
)

(Compulsory)



14.


What are the major challenges of mining a huge amount of data in comparison with mining a small
am
ount of data?
Justify

your answer.


******