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