Download JNTUH (Jawaharlal nehru technological university) MCA (Master of Computer Applications) 4th Sem (Fourth Semester) Regulation-R13 2019 December 814BD Data Warehousing And Data Mining Previous Question Paper

R13

Code No: 814BD

JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

MCA IV Semester Examinations, December - 2019

DATA WAREHOUSING AND DATA MINING

S

Time: 3 Hours

Max. Marks: 60

Note: This question paper contains two parts A and B.

Part A is compulsory which carries 20 marks. Answer all questions in Part A. Part B

consists of 5 Units. Answer any one full question from each unit. Each question carries 8

marks and may have a, b, c as sub questions.

PART - A

5 ? 4 Marks = 20

1.a) What is data preprocessing? What are the various forms of it.

[4]

b) Explain the architecture of data warehouse.

[4]

c) Distinguish between Apriori algorithm and Frequent pattern growth algorithm.

[4]

d) What are the steps involved in preparing the data for classification?

[4]

e) What are the advantages and disadvantages of k-means algorithm.

[4]

PART - B

5 ? 8 Marks = 40

2.a)

Explain about the Integration of a Data mining system with a Database or Data

warehouse system.

b)

List the techniques for Data cleaning.

[4+4]

OR

3.a)

What are the issues in Data mining?

b)

Explain about the classification of data mining systems.

[4+4]

4.

Explain in detail about the implementation of a data warehouse.

[8]

OR

5.

Illustrate OLAP operations in the Multidimensional Data Model.

[8]

6.

Discuss the FP-growth algorithm. Explain with an example.

[8]

OR

7.

Discuss about mining multilevel association rules from transaction databases in detail.

[8]

8.

Explain in detail about classification of Back propagation algorithm.

[8]

OR

9.

Explain linear regression and non-linear regression with example.

[8]

10.

Write algorithms for k-medoid clustering and Explain with simple data.

[8]

OR

11.

Explain about the Statistical-based outlier detection.

[8]

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This post was last modified on 17 March 2023