Download MU-(University of Mumbai or University of Bombay) 2019 May M.Sc IT Part 1 (Master of Science in Information Technology) 71481 Data Warehousing and Mining and Advanced Database Systems Previous Question Paper
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CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
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CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
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73260 Page 1 of 2
(Time: ?? hours)
[Total Marks: 75]
Please check that you have got the correct question paper.
N. B.: (1) All questions are compulsory.
(2) Make suitable assumptions wherever necessary and state the assumptions made.
(3) Answers to the same question must be written together.
(4) Numbers to the right indicate marks.
(5) Draw neat labeled diagrams wherever necessary.
(6) Use of Non-programmable calculators is allowed.
SECTION ? I
1.
a. What is meta data and explain its significance? 7
b. Explain the Dimensional nature of business data. 6
OR
1.
a. Explain the data design phase of a Data warehouse 7
b. Explain in detail the concept of Information Package along with suitable example. 6
2.
a. Explain characteristics of Fact table and dimension table. 7
b. Distinguish between ROLAP vs MOLAP 6
OR
2.
a. What is a Decision tree? Explain in detail 7
b. Define clustering and explain what is meant by unsupervised learning. 6
3.
a. What is Web Mining? 6
b. Data generalization and summarization based characterization 6
OR
3.
a. Define the following : a. Mean b. Median c. Mode 6
b. Explain the concept of Genetic algorithms in detail 6
[TURN OVER]
Paper / Subject Code: 71481 / Information Technology : Paper IV - Data Warehousing and Mining and Advanced Database Systems.
CC96A91F8BF1A0D30158C5A68532FC1A
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CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
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CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
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CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
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CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
73260 Page 1 of 2
(Time: ?? hours)
[Total Marks: 75]
Please check that you have got the correct question paper.
N. B.: (1) All questions are compulsory.
(2) Make suitable assumptions wherever necessary and state the assumptions made.
(3) Answers to the same question must be written together.
(4) Numbers to the right indicate marks.
(5) Draw neat labeled diagrams wherever necessary.
(6) Use of Non-programmable calculators is allowed.
SECTION ? I
1.
a. What is meta data and explain its significance? 7
b. Explain the Dimensional nature of business data. 6
OR
1.
a. Explain the data design phase of a Data warehouse 7
b. Explain in detail the concept of Information Package along with suitable example. 6
2.
a. Explain characteristics of Fact table and dimension table. 7
b. Distinguish between ROLAP vs MOLAP 6
OR
2.
a. What is a Decision tree? Explain in detail 7
b. Define clustering and explain what is meant by unsupervised learning. 6
3.
a. What is Web Mining? 6
b. Data generalization and summarization based characterization 6
OR
3.
a. Define the following : a. Mean b. Median c. Mode 6
b. Explain the concept of Genetic algorithms in detail 6
[TURN OVER]
Paper / Subject Code: 71481 / Information Technology : Paper IV - Data Warehousing and Mining and Advanced Database Systems.
CC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
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CC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1ACC96A91F8BF1A0D30158C5A68532FC1A
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73260 Page 2 of 2
SECTION II
4.
a. Explain characteristics of Specialization and Generalization. 7
b. Explain the concept of weak entity sets. 6
OR
4.
a. Explain the concept of versions & configurations. 7
b. Write short note on the concept of complex objects. 6
5.
a. Compare of OODBMS, RDBMS, ORDBMS. 6
b. Define Distributed databases. List and explain its types. 6
OR
5.
a. Explain the Primary Site method of Distributed Concurrency Control. 6
b. Write short note on Deductive Databases. 6
6.
a. Write a short on indexing techniques for text data. 6
b. Explain Semi structured data model and its implementation issues.
6
OR
6. 6
a. Write short note on Mobile Databases and Temporal databases. 6
b. Explain the concept of XML DTD.
_________________
Paper / Subject Code: 71481 / Information Technology : Paper IV - Data Warehousing and Mining and Advanced Database Systems.
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This post was last modified on 05 February 2020