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Data Mining
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Course Name
BSc IT (Bachelor of Science in Information Technology)
Subject Code BT9001 (Data Mining )
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PART - A
PART - B
PART - C
Subject : Data Mining
BT9001 : PART - C
| Q. 1 | Which of the following are application of
data mining?
1. Find associations among customer
demographic characteristics
2. Predict customers who are likely to change
their credit card affiliation
3. Identify behavior patterns of ris |
| | A) | 1, 2, 3and 6 |
| B) | 2, 3, 4 and 5 | | C) | 1, 2, 3, 4, 5 and 6 | | D) | 1, 2, 4, and 5 | | | | | Q. 2 | Which of the following are elements of
data mining?
1. Extraction, transformation and loading of
transaction data into the data warehouse
system
2. Storing and managing the data in a multidimensional
database system
3. Providi |
| | A) | 1, 2, 3, 4 and 5 |
| B) | 2, 3 and 5 | | C) | 1, 2 and 4 | | D) | 1, 3, and 4 | | | | | Q. 3 | Given
Set A
1) MOLAP Architecture
2) ROLAP Architecture
3) OLTP
4) ML
Set B
1) Data per transaction is very small
2) Concerned with improving performance of an
agent
3) Able to run against large sets
4) Compilat |
| | A) | 1) - 3), 2) - 1), 3) - 4), 4) - 2) |
| B) | 1) - 4), 2) – 1), 3) - 2), 4) - 3) | | C) | 1) - 4), 2) - 3), 3) - 1), 4) - 2) | | D) | 1) - 2), 2) - 4), 3) - 1), 4) - 3) | | | | | Q. 4 | Which of the following statements are true
regarding data marts?
1. The amount of historical information in a
data mart is greater than that in a data
warehouse
2. The subject areas in data mart are the same
as that in a data wareh |
| | A) | 1, 2, 3and 6 |
| B) | 2, 3, 4 and 5 | | C) | 3 and 4 | | D) | 1, 2, 3, 5 and 6 | | | | | Q. 5 | Match the following:-
Set I
a. Artificial Neural Networks
b. Genetic Algorithms
c. Decision Trees
d. Data Visualization
e. Rule Induction
f. Nearest Neighbour Method
Set II
1. Tree-shaped structure that represent sets o |
| | A) | a-4, b-1, c-5, d-6, e-2, f-3 |
| B) | a-3, b-4, c-1, d-6, e-2, f-5 | | C) | a-6, b-3, c-4, d-1, e-2, f-5 | | D) | a-5, b-6, c-2, d-4, e-1, f-3 | | | |
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