Download JNTUA MBA 2019 June 3rd Sem 17E00319 Data Warehousing And Mining Question Paper

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Time: 3 hours

Max. Marks: 60

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MBA III Semester Supplementary Examinations May 2019

DATA WAREHOUSING & MINING

(For students admitted in 2017 only)

All questions carry equal marks

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SECTION -A

(Answer the following: (05 X 10 = 50 Marks)

1. (a) A data warehouse is a key technology in a decision support system. Justify this statement.
   (b) Discuss briefly the various applications of data warehouse.
2. OR
   

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   (a) The organizational memory is an important prerequisite for organizational learning. Explain with suitable example.
   (b) Give reasons why data management is important to any organization.
3. Explain the roles and responsibilities of various users (including administrators) of a database system.
4. OR
   Explain how data is shared between different levels within and across organizations.

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5. Give an outline of the various multi-dimensional data structures.
6. OR
   (a) Explain briefly the different types of meta data.
   (b) Give an overview of importance of meta data.
7. Explain the steps involved in building a data warehouse.

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8. OR
   Explain the data warehouse designing methodologies.
9. Consider the dataset given below and construct decision tree using information gain.
   

   Index	A	B	C	D	E
   1	4.8	3.3	1.8	0.3	Positive
   2	5	3	1.5	1.3	Positive
   3	5	3.3	1.5	0.3	Positive
   4	5.2	3.5	1.4	0.3	Positive
   5	5.2	3.3	1.3	0.3	Positive
   6	4.7	3.2	1.5	0.3	Positive
   7	4.8	3.1	1.5	0.3	Negative
   8	5.4	3.4	1.4	0.5	Negative
   9	6.4	3.2	4.6	1.5	Negative
   10	6.9	3.2	4.6	1.6	Negative
   11	5.3	2.8	4.8	1.3	Negative
   12	4.6	2.3	4.1	1.6	Negative

10. OR
    

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    Give a short overview of Feedforward neural network, multilayer perceptron and backpropagation method.

SECTION -B

(Compulsory question, 01 X 10 = 10 Marks)

11. Case Study:
    Design a data warehouse for retail store and explain its components and suggested data marts.

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