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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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